Machine Learning Scientist III, Recommendations
Remote job
About this role We are looking for an experienced Machine Learning Scientist III to join our content recommendations team. In this role, you will be at the core of building and optimizing ML-based recommender systems (e.g., image and content recommendations, homepage and email optimization and personalization) to enhance the customer experience at Wayfair. Your work will directly impact how millions of customers discover and engage with products, driving significant business value.
As part of Wayfair's SMART (Search, Marketing, and Recommendations Technology) team, you will collaborate with ML scientists, engineers, and product teams to develop and deploy cutting-edge recommendation models that operate at scale. This role is an opportunity to solve complex problems related to personalization, large-scale machine learning, latency, and scalability while leveraging state-of-the-art (SOTA) AI techniques.
What you'll do
* Develop and optimize recommendation models that power personalized experiences across Wayfair's site, app, email, and push notifications.
* Conduct applied research to improve recommender systems using traditional ML techniques, deep learning and reinforcement learning.
* Build scalable ML pipelines for training, evaluation, and inference, ensuring models operate efficiently in production.
* Work closely with engineering teams to deploy models in a production environment, addressing real-world constraints such as latency, interpretability, and scalability.
* Analyze model performance and iterate based on A/B test results, offline evaluation metrics, and business impact.
* Leverage and contribute to open-source ML frameworks while staying up to date with cutting-edge research in recommendation systems.
* Drive innovation by identifying opportunities to improve personalization strategies and developing novel algorithms that enhance customer engagement.
* Collaborate with cross-functional teams including product managers, software engineers, and data scientists to align ML objectives with business goals.
* Mentor other less experienced scientists on the team
Who you are
* 5+ years of experience developing and deploying machine learning models, with a focus on recommendations, ranking, or personalization.
* Strong theoretical understanding of machine learning and deep learning applied to large-scale recommendation problems.
* Experience in training, evaluating, and optimizing recommendation models in production, leveraging techniques such as collaborative filtering, sequence modeling, representation learning and multi-armed bandits.
* Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-Learn.
* Familiarity with big data processing (Spark, Hadoop) and ML pipeline orchestration (Airflow, Kubeflow, MLflow).
* Strong coding skills and familiarity with building scalable ML systems in cloud environments (AWS, GCP, Azure).
* Ability to design experiments and analyze results using A/B testing and statistical techniques.
* Excellent communication skills, with the ability to explain complex ML concepts to non-technical stakeholders and drive data-driven decisions.
Nice to have
* Experience developing core recommendation systems for eCommerce, marketplaces, or streaming platforms.
* Familiarity with reinforcement learning or contextual bandits for adaptive recommendation strategies.
This role offers the opportunity to work on high-impact ML problems at scale, shaping the future of personalization and recommendations at Wayfair. If you're passionate about building intelligent systems that enhance customer experiences, we'd love to hear from you!
Why You'll Love Wayfair:
* Time Off:
* Paid Holidays
* Paid Time Off (PTO)
* Health & Wellness:
* Full Health Benefits (Medical, Dental, Vision, HSA/FSA)
* Life Insurance
* Disability Protection (Short Term & Long Term Disability)
* Global Wellbeing: Gym/Fitness discounts (including US Peloton, Global ClassPass, and various regional gym memberships)
* Mental Health Support (Global Mental Health, Global Wayhealthy Recordings)
* Caregiver Services
* Financial Growth & Security:
* 401K Matching (Employee Matching Program)
* Tuition Reimbursement
* Financial Health Education (Knowledge of Financial Education - KOFE)
* Tax Advantaged Accounts
* Family Support:
* Family Planning Support
* Parental Leave
* Global Surrogacy & Adoption Policy
* Professional Development & Recognition:
* Rewards & Recognition
* Global Employee Anniversary Awards
* Paid Volunteer Work
* Unique Perks:
* Employee Discount
* U.S. Bluebikes Membership
* Global Pod Outings
* Work/Life Balance:
* Emphasizing a supportive & flexible work environment that encourages a balance between personal and professional commitments
Wayfair's In-Office Policy:
All Mountain View-based interns, co-ops, and corporate employees will be in office in a hybrid capacity. Employees will work in the office on designated days, Tuesday, Wednesday, and Thursday, and work remotely the other 2 days of the week.
Assistance for Individuals with Disabilities
Wayfair is fully committed to providing equal opportunities for all individuals, including individuals with disabilities. As part of this commitment, Wayfair will make reasonable accommodations to the known physical or mental limitations of qualified individuals with disabilities, unless doing so would impose an undue hardship on business operations. If you require a reasonable accommodation to participate in the job application or interview process, please let us know by completing our Accomodations for Applicants form.
Need Technical Assistance?
For more information about applying for a career at wayfair, visit our FAQ page here.
About Wayfair Inc.
Wayfair is one of the world's largest online destinations for the home. Whether you work in our global headquarters in Boston, or in our warehouses or offices throughout the world, we're reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you're looking for rapid growth, constant learning, and dynamic challenges, then you'll find that amazing career opportunities are knocking.
No matter who you are, Wayfair is a place you can call home. We're a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair - and world - for all. Every voice, every perspective matters. That's why we're proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, genetic information, or any other legally protected characteristic.
Your personal data is processed in accordance with our Candidate Privacy Notice (***************************************** If you have any questions or wish to exercise your rights under applicable privacy and data protection laws, please contact us at *********************************.
Easy ApplyScientific Associate
Remote job
The Scientific Associate (SA) is responsible for developing and writing medical content for their assigned account(s) and works in conjunction with all internal teams to ensure that the client vision is achieved and content is medically accurate. The SA is responsible for development of a variety of resources, including, but not limited to, clinical monographs, value proposition slide decks, advisory board materials, and internal training resources.
Essential functions of the job include but are not limited to: (This is NOT meant to be an exhaustive task list)
• Under direct supervision, develop high quality, medically accurate content in print or digital format for a wide range of medical communication resources
• Deliver requested projects per established timelines
• Conduct literature reviews and develop annotations to support promotional claims in a variety of promotional medical education and marketing resources
• Ensure professional, proactive, and collaborative communication with internal and external stakeholders
• Ensure a constant high quality of work in line with science, good publication practice, and company rules and policies
• Work closely with account teams to refine content in keeping with strategic imperatives
• Communicate medical content with internal team and pharmaceutical clients, as necessary
• Attend medical, legal, regulatory review meetings and participate, as necessary
• Participate in all internal team meetings, including project kick-off meetings, weekly status meetings, client meetings, and internal brainstorm/review meetings
• Contribute ideas for tactical planning within assigned accounts
• Travel for occasional client meetings
• Promote and adhere to Precision Value and Health's workplace values known as PRECISION Principles (Client Service, Purpose, Accountability, Mutual Respect and Collaboration)
Required Education:
• Advanced degree in life sciences, preferably PharmD or PhD
Required Experience:
• 1 - 2 years of experience in the medical communication, pharmaceutical and/or healthcare industry.
Required Skills:
• Knowledge of American Medical Association (AMA) style
• Proficiency in Microsoft Word, Microsoft PowerPoint, and Adobe Acrobat
• Familiarity with scientific search engines including PubMed and Google Scholar
Required Competencies:
• Strong written and verbal communication
• High analytical ability
• Ability to prioritize deadline-sensitive projects and juggle competing client priorities
• Team- and detail-oriented
Preferred Qualifications:
• Expertise in gathering, evaluating, and summarizing healthcare business and scientific literature and insights data for a variety of managed care audiences
• Working knowledge of managed markets, healthcare, and the healthcare delivery system; health reform
legislation; and/or managed care experience (HMO, MCO, PBM, etc.)
• Managed care experience
#LI-REMOTE
Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Precision, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. This role is also eligible for a discretionary annual bonus, health insurance, retirement savings benefits, life insurance and disability benefits, parental leave, and paid time off for sick leave and vacation, among other benefits.Reasonable estimate of the current range$83,000-$117,000 USD
Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.
Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law.
If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at **************************************.
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.
Auto-ApplyPharmacovigilance Scientist
Remote job
About Us:
Oruka Therapeutics (Nasdaq: ORKA) is developing novel biologics designed to set a new standard for the treatment of chronic skin diseases. Oruka's mission is to offer patients suffering from chronic skin diseases like plaque psoriasis the greatest possible freedom from their condition by achieving high rates of complete disease clearance with dosing as infrequently as once or twice per year. Oruka is advancing a proprietary portfolio of potentially best-in-class antibodies that were engineered by Paragon Therapeutics and target the core mechanisms underlying plaque psoriasis and other dermatologic and inflammatory diseases. For more information, visit ***************
As we build our core team, we're seeking top talent in different functional areas who are not just looking for a job, but an opportunity to be part of something bigger. Someone who is passionate about making a difference and eager to contribute to establishing an engaged, inclusive, and positive company culture.
Job Title: Pharmacovigilance Scientist
Location: Remote
Role Overview:
The Pharmacovigilance Scientist plays a critical role in the collection, evaluation, and management of drug safety data throughout clinical development. This role supports the monitoring and assessment of adverse events, safety signal detection, and risk management activities to safeguard patient safety and ensure regulatory compliance. The Pharmacovigilance Scientist collaborates with cross-functional teams to maintain the integrity of safety data and contributes to the preparation of safety-related documentation, presentations and aggregate reports. They work closely with the Senior Medical Director, Pharmacovigilance and Safety, to execute pharmacovigilance strategies.
Key Responsibilities:
Safety Data Collection and Review:
Collects, reviews, and analyzes adverse event reports from clinical trials to identify potential safety signals
Supports quality control review of individual case safety reports (ICSRs)
Assists in ongoing safety monitoring activities, including data reconciliation and quality checks to ensure accuracy of safety data.
Supports safety data management activities, including case processing, follow-up, and coding of adverse events
Risk Assessment and Signal Detection:
Assesses clinical safety data to identify, evaluate, and document adverse events and emerging safety concerns.
Contributes to risk-benefit analyses and supports the development of risk mitigation strategies
Pharmacovigilance Documentation:
Supports the preparation and review of pharmacovigilance documents such as Development Safety Update Reports (DSURs), development Risk Management Plans (dRMPs), and relevant sections of clinical trial protocols, IBs and regulatory submissions
Proficient with safety surveillance systems and tools (e.g., Argus, MedDRA, Veeva Vault)
Scientific Expertise:
Maintains current knowledge of relevant therapeutic areas, pharmacology, and drug safety regulations
Conducts literature reviews and safety signal assessments to inform safety evaluations
Cross-Functional Collaboration:
Works closely with clinical operations, regulatory affairs, medical affairs, data management, bioinformatics and project management teams to ensure comprehensive safety oversight
Supports compliance with global pharmacovigilance regulations and company safety policies
Supports the communication and oversight of pharmacovigilance and contract research organization vendors
Supports the project management of safety activities such as aggregate reports, safety team meetings, signal evaluations, etc.
Qualifications:
Advanced degree in life sciences (e.g., PharmD, PhD) or related field
Minimum of 3 years of experience within the pharmaceutical industry, ideally including drug safety experience
Knowledge of good pharmacovigilance practices, drug safety regulations, and clinical trial processes
Understanding of pharmacovigilance regulatory practices including CIOMS, EMA, ICH and FDA guidelines
Experience with adverse event data review, safety signal detection, and safety database management (e.g. Argus, MedDRA, Veeva Vault)
Strong analytical, communication and presentation skills
Strong organizational and project management skills
Ability to collaborate effectively across multidisciplinary teams in a fast-paced environment
Compensation:
An appropriate financial package will be developed for the successful candidate to include a competitive base salary and equity, with a performance-related bonus opportunity.
The anticipated salary range for candidates, Scientist I is $125,000-140,000 and Scientist II is $140,000-155,000 . The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Oruka is a multi-state employer and this salary range may not reflect positions that work in other states.
If located within one of our offices in Waltham, MA or Menlo Park, CA, you will be required to go into office 3 days a week.
We're looking forward to hearing how you can contribute to our team and mission. Join us in shaping the future of our company and making a real impact every day.
Salary Range for the Role$125,000-$155,000 USD
What We Offer:
A chance to be part of a vibrant startup culture where your work can directly impact bringing new medicines to patients.
Competitive salary and benefits package.
A supportive and inclusive team environment where everyone is encouraged to bring their authentic selves to work.
Opportunities for professional growth and development.
Auto-ApplyPharmacovigilance Scientist
Remote job
Axsome Therapeutics is a biopharmaceutical company leading a new era in the treatment of central nervous system (CNS) conditions. We deliver scientific breakthroughs by identifying critical gaps in care and develop differentiated products with a focus on novel mechanisms of action that enable meaningful advancements in patient outcomes. Our industry-leading neuroscience portfolio includes FDA-approved treatments for major depressive disorder, excessive daytime sleepiness associated with narcolepsy and obstructive sleep apnea, and migraine, and multiple late-stage development programs addressing a broad range of serious neurological and psychiatric conditions that impact over 150 million people in the United States. Together, we are on a mission to solve some of the brain's biggest problems so patients and their loved ones can flourish. For more information, please visit us at ************** and follow us on LinkedIn and X.
About This Role
Axsome Therapeutics is seeking a Pharmacovigilance Scientist to establish and execute pharmacovigilance (PV) systems and procedures, with a strong focus on maintaining high-quality standards. This role is responsible for supporting the Pharmacovigilance (PV) Science function under the guidance of the PV physician and providing oversight of ICSR assessment, signal detection, medical surveillance and risk management activities for investigational products in clinical development and marketed products. This position collaborates with key internal stakeholders, including Clinical Development, Commercial, Medical Information, Medical Affairs, Quality, Regulatory and Legal, as well as multiple external Service Providers and partners on pharmacovigilance-related matters.
This position reports to Executive Director of Pharmacovigilance/Drug Safety and is based at Axsome's HQ in New York City with an on-site requirement of at least three days per week. We are unable to consider candidates who are looking for fully remote roles.
Job Responsibilities and Duties include, but are not limited to, the following:
* Assist safety physician to enhance safety surveillance and signal detection by monitoring and analyzing safety data from various sources to identify potential safety signals or trends related to investigational and marketed products
* Contribute to the creation and execution of risk minimization measures to mitigate identified risks.
* Support the preparation pharmacovigilance aggregate safety reports (e.g., PADER, PSURs, DSURs) to regulatory authorities to meet compliance requirements.
* Collaborate with PV physician/PV operations and key stakeholders to request/receive applicable sections of the report
* Provide training and guidance to other functions to address ad hoc questions and issues
* Ensure timely finalization of the reports to meet the submission timelines of relevant health authorities and other external stakeholders
* Collaborate and communicate with cross-functional teams to ensure effective safety monitoring and communication
* Support the safety review team (SRT) and coordinates all safety topic discussion and documentation.
* Ensure appropriate stakeholder representation and input at SRT
* Ensure all data is appropriately compiled and presented at SRT for team review
* Liaise with SRT chair to facilitate communication and support for decisions resulting from the SRT (e.g. update of RMPs, labeling, regulatory notifications etc.)
* Contribute to clinical trials by providing safety input and reviewing documents such as Clinical Study Reports (CSRs), protocols, and investigator brochures (IB), ICF etc.
* Provide support for the processing of individual case safety reports (ICSRs) and ensure data accuracy and completeness for investigational and marketed products
* Support the PV SOP updates
* Oversee vendor safety process, e.g., signal detection, validation and assessment.
* Participate in audit/inspection preparedness activities and provide support during regulatory inspections in collaboration with team members
* Participate in new study initiation to ensure PV requirements are met including but not limited to safety reporting, query resolution, SAR reconciliation, un-blinding process, and safety reporting training
* Evaluate and improve current PV processes, as needed, to strengthen medical surveillance and risk management process ensuring alignment with best practices
Requirements / Qualifications
* Master's degree in health-discipline or equivalent required, RN, R.Ph, or Pharm D degree is highly preferred
* 5+ years of progressively responsible Pharmacovigilance experience in a pharmaceutical, biotechnology, or related environment with focused experience in signal detection, safety surveillance, risk mitigation and risk management
* Extensive experience in case processing, regulatory requirements of ICSRs, MedDRA, WHODD, project management
* Experience in submission activities in both FDA and EU is preferred, but not required
* Must demonstrate the ability to draft reports, business correspondence, and procedures, and to effectively present information and respond to questions from internal and external stakeholders, both domestic and international
* Ability to work on site Monday, Tuesday & Thursday. We are unable to consider candidates who are looking for fully remote roles.
Experience and Knowledge
* Knowledge of ICH E2B(R2) and (R3) specifications and entry guidance.
* Knowledge of global pharmacovigilance reporting rules and timelines, including but not limited to Health Canada, FDA and EMA.
* Knowledge of relevant food and drug administration (FDA), European union (EU) and international conference on Harmonization (ICH) guidelines, initiatives, and regulations governing pharmacovigilance.
* Ability to interpret health and medical records such as adverse event reporting forms, a discharge summary, etc.
* Experience with clinical and/or post-marketing case assessment, including medical terminologies, MedDRA and WHO DD coding and narrative writing.
* Experience with safety database is required; ARISg is a plus but not mandatory.
* Experience with Veeva is a plus but not mandatory.
* Ability to work independently and collaboratively, as required, in a fast-paced matrixed team environment consisting of internal and external team members
* Analytical thinker with excellent problem-solving skills and the ability to adapt to changing priorities and deadlines
* Ability to read, analyze, and interpret professional journals, technical procedures, and governmental regulations
* Excellent planning, organization, and time management skills including the ability to support and prioritize multiple projects
* Excellent verbal and written communication and skills
* Excellent in detailed-oriented tasks.
Salary & Benefits
The anticipated salary range for this role is $150,000 - $185,000. We encourage candidates of all levels to apply as there may be flexibility on final job title and responsibilities. The salary offer will be based on a variety of factors, including experience, qualifications, internal equity and location. Axsome offers a competitive employment package that includes an annual bonus, significant equity and a generous benefits package.
Axsome is committed to equal employment opportunity and providing reasonable accommodations to applicants with physical and/or mental disabilities. We value and encourage diversity and solicit applications from all qualified applicants without regard to race, color, gender, sex, age, religion, creed, national origin, sexual orientation, gender identity, ancestry, citizenship, marital status, physical or mental disability, medical condition, veteran status, genetic information, or any other characteristic protected by federal, state, or local law.
Axsome Therapeutics does not accept unsolicited resumes from recruiters or third-party recruitment agencies and will not pay placement fees for unsolicited candidates that are sent to hiring managers, the HR team or other Axsome team members. Only approved vendors who have been explicitly asked to support a specific search will receive access to our Applicant Tracking System to submit candidates for consideration.
Senior Formulations Scientist
Remote job
Where Trust Leads, Bold Ideas Grow, and Community Thrives
Paula's Choice, a global skincare leader founded in 1995, empowers individuals to define beauty on their own terms through science-backed products. Our mission comes to life through four core values that guide our actions, decisions, and impact:
Build Trust: We set the standard for skincare, transparency, and shared knowledge.
Be Bold: We lead through innovation and by challenging the status quo.
Act with Kindness: We operate with respect and care-for our customers, colleagues, and the planet.
Create Community: We believe in the power of connection-whether educating customers, supporting each other, or giving back, we grow stronger together.
Our team spans North America, Australia/New Zealand, Europe, and the broader APAC region, collaborating globally to drive innovation. We offer space to thrive-personally, professionally, and through our comprehensive benefits package designed to support your well-being at every stage:
Generous paid time off, including time off to volunteer
Learning and development resources to support personal and professional growth
Wellness benefits like meditation app memberships, product discounts, and free samples of our amazing products
Most roles are fully remote (roles that are required to be at our Seattle HQ can be found in the details section of this job post)
Great location - for roles that are hybrid or fully onsite, we're in the heart of Seattle's beautiful International District
Did we mention we're a dog-friendly office?
Our culture encourages continuous learning and is fueled by connection, curiosity, and cross-functional collaboration. Whether onsite, remote, or hybrid, we stay connected through shared initiatives that bring our teams together. If you're inspired by transparency, driven to make an impact, and eager to help foster community-we'd love to have you join us.
How you'll have an impact at Paula's Choice:
The Research & Innovation team leads the discovery and development of new innovation and technology, and the creation of skincare development in our internal formulation lab and with external partners.
As a Senior Formulations Scientist, you will create new skin care development in our internal formulation lab, located in downtown Seattle. This key role will help drive our speed-to-market and innovation initiatives through the design, development, and execution of highly effective and quality formulations.
If you're an experienced formulator skilled in creative thinking, building relationships, and have a passion for skincare, we would love to hear from you!
Product Development at Paula's Choice is R&D led and starts with the science and is driven by what is truly safe and effective for skin. You will have a unique opportunity to contribute to new innovation and work on blue sky concepts.
As a Senior Formulations Scientist, a typical day might include a mix of the following:
Formulation Development: Develop and refine cosmetic formulations for skincare (cosmetics and OTC). Ensure formulations meet efficacy, safety, and stability requirements.
Innovation: Stay abreast of industry trends, emerging ingredients, and technological advancements. Participate in product ideation and blue-sky development to drive new product development (NPD).
Research & Development: Conduct research on new raw materials, formulation techniques, and emerging trends. Evaluate and source new ingredients for potential inclusion in formulations.
Testing & Validation: Design and oversee stability, compatibility, and performance testing for new and existing products. Review and interpret testing results to make data-driven decisions.
Documentation & Compliance: Enter formulas into the formula control system. Maintain accurate records of formulation processes and test results. Ensure all products comply with regulatory requirements and industry standards.
Collaboration: Work closely with cross-functional teams, including Product Development, manufacturing, quality assurance, packaging, etc., to ensure successful product development and launch.
Troubleshooting: Address and resolve formulation issues, such as stability, performance, or sensory attributes. Provide solutions to improve product quality and efficiency.
Vendor Management: Engage with suppliers and vendors to evaluate and procure raw materials. Stay informed about supplier innovations and potential new ingredients.
Quality Assurance: Support quality control efforts by reviewing and approving stability and performance reports. Assist in resolving quality issues and improving product formulations.
Cost Savings: Propose cost-saving measures and suggestions to reduce lead times.
Formula Transfer: Assist with the transfer of formulas to third-party manufacturers and help verify formula reproducibility prior to production.
The Details:
Location: This role requires on-site presence at our Seattle, WA, must be based in the Pacific Northwest
Hours: Typical PST Business Hours, some flexibility required
Physical requirements: Standing and working on the bench for most of the day
Travel requirements: 10-20%
What you'll bring to the table:
Bachelor's degree in chemistry or a related science field or equal work experience
7+ years of experience formulating effective skin care products that have resulted in successful launches in a range of formats (creams, lotions, gels, liquids)
Strong knowledge of personal care ingredients, chemistry, product stability, and manufacturing processes
Skilled user of the Microsoft Office suite of products.
A high proficiency in of troubleshooting and problem solving.
Strong organization and attention to detail
Outstanding oral and written communication
Self-sufficient and able to work independently, as well as in team settings.
What can help you really stand out:
Strong background and knowledge in formula transfer, scaleup, manufacturing, and trouble-shooting stability issues
Ability to objectively read and interpret scientific findings
Strong understanding of product quality related issues
General understanding of global regulatory formula requirements
Experience and training with GMP guidelines
Working knowledge of Smartsheet
Approximate Salary Range Based on Experience and Location:
$115,000 - $130,000 USD/annually
#LI-NG1
Paula's Choice Skincare determines the pay for positions using local, national, and industry-specific survey data. We evaluate external and internal equity and the cost of labor/prevailing wage index in the relative marketplace for jobs directly comparable to jobs within our company. Our posted salary range is based on national data and may be refined for a candidate's region/town/cost of living.
For new hires, we strive to make competitive offers allowing the new employee room for future growth. The exact base salary is determined by various factors including experience, skills, education, geographic location, and budget. This position is also eligible for participation in the company discretionary bonus plan.
Paula's Choice Skincare is an Equal Opportunity Employer and does not discriminate on the basis of race, color, gender identity, religion, sex, age, national origin, disability, veteran status, sexual orientation, genetic information or any other classification protected by Federal, State or Local law. We are committed to create a workplace that is inclusive of all. Where everyone feels empowered to bring their full authentic self to work.
Please note:
At any time, with or without notice, Paula's Choice reserves the right to add/delete/change the position's requirements.
If you are an individual with a disability in need of assistance at any time during our recruitment process, please contact us at ************************. This email is intended for individuals with disabilities in need of assistance and is not a means of inquiry about positions or application statuses.
We take your privacy seriously. For details please see our Privacy Notice.
Auto-ApplyFishery Restoration Scientist
Remote job
Seeking a Fishery Restoration Scientist to support NOAA Fisheries in executing analytical, technical, and field-related tasks across multiple habitat conservation and environmental review programs. This position will work closely with the NOAA Project Lead (PL) to evaluate project impacts, conduct habitat analyses, support regulatory reviews, and develop high-quality technical deliverables. The work will be performed in a fully remote capacity, with only a limited possibility of occasional travel within the east coast regions of Florida, South Carolina, North Carolina, or Georgia.
The task includes the following:
* Review study objectives developed by the Southeast Region and project partners, identify optimal field study locations, manage partner-provided datasets, develop associated metadata, and recommend practicable refinements to future field efforts. Deliver short technical reports and data files and incorporate all NOAA PL comments into final documentation.
* Analyze project-specific data to evaluate compliance with hydropower facility license conditions, with particular attention to fish passage and flow prescriptions. Deliver concise written reports for each facility and revise final documentation in response to NOAA PL comments.
* Assess effects to Essential Fish Habitat (EFH) and evaluate proposed mitigative measures for offshore wind energy projects using data provided. Prepare short written reports and develop briefing materials suitable for NOAA senior leadership summarizing project objectives, expected impacts, benefits, and anticipated schedules. Address all NOAA PL comments in final deliverables.
* Review dredging operation data and coral condition information for the Port Everglades and Port Miami project areas. Evaluate potential effects to coral habitat, recommend mitigation measures to offset expected impacts, and deliver a written report containing habitat characterizations and supporting GIS files with appropriate metadata and Google Earth files. Address all NOAA PL comments in final documentation.
* Conduct EFH, Fish and Wildlife Coordination Act (FWCA), and Fish and Wildlife Planning Assistance (FPA) analyses for proposed construction and restoration projects. Maintain a current understanding of diadromous, estuarine, and reef fish habitats, key environmental pressures, and conservation partnerships across Southeast U.S. watersheds. Use GIS to prepare maps and manage spatial data for analysis, and produce written reports and briefing materials with complete responses to NOAA PL comments.
* Submit electronic monthly progress reports that clearly correlate cost, level of effort, activity descriptions, and accomplishments for the reporting period.
Requirements
* Knowledge of fish and habitat ecology, environmental conservation principles, and habitat impact assessment methodologies.
* Experience conducting data analysis, preparing technical summaries, and managing fisheries or environmental datasets.
* Experience using GIS software for spatial analysis, map production, and metadata development.
* Familiarity with EFH assessments, environmental review processes, and habitat-based conservation strategies within marine or estuarine systems.
* Ability to write clear, concise technical reports and prepare briefing materials for senior decision-makers.
* Strong proficiency with common software including word processing, spreadsheets, statistical tools, data management applications, and the entire Google suite.
* Ability to collaborate with partners, manage multiple ongoing tasks, and respond to technical comments with accuracy and completeness.
* Must be a US Citizen or Permanent Resident who has lived in the United States at least 3 of the last 5 years and must be able to pass a background investigation to obtain a security badge to access applicable government systems.
Work Location
This position is fully remote in support of NOAA Fisheries.
Education
Bachelor's degree in Biology, Marine Science, Ecology, Environmental Science, or a related discipline, plus three years of experience in fish biology, marine biology, oceanography, or a closely related field.
Salary
The salary range for this role is $46,000 - 221,000/year. This range is a good faith estimate based on similar roles across the organization. ERT considers several factors when extending an offer of employment, including the location, scope, and associated responsibilities of the specific position, as well as a candidate's work experience, education/training, and key skills.
Benefits
All full-time employees are eligible to participate in our flexible benefits package, which includes:
* Medical, Rx, Dental, and Vision Insurance
* 401(k) retirement plan with company-matching
* 11 Paid Federal Government Holidays
* Paid Time Off (PTO)
* Basic Life & Supplemental Life
* Health Savings Account, Flexible Spending and Dependent Care Flexible Spending Accounts
* Short-Term & Long-Term Disability
* Employee assistance program (EAP)
* Tuition Reimbursement, Personal Development & Learning Opportunities
* Skills Development & Certifications
* Professional Membership Reimbursement
* Employee Referral Program
* Competitive compensation plan
* Discretionary variable incentive bonuses based on factors such as individual performance, business unit performance, and/or the company's performance
* Publication and Conference Presentation Awards with bonuses
ERT is a VEVRAA Federal Contractor and Equal Opportunity employer - All qualified applicants will be considered for employment without regard to race, color, religion, sex, national origin, disability, or protected Veteran status.
#LI-Remote
Modern AI Scientist
Remote job
Thank you for your interest in joining Solventum. Solventum is a new healthcare company with a long legacy of solving big challenges that improve lives and help healthcare professionals perform at their best. At Solventum, people are at the heart of every innovation we pursue. Guided by empathy, insight, and clinical intelligence, we collaborate with the best minds in healthcare to address our customers' toughest challenges. While we continue updating the Solventum Careers Page and applicant materials, some documents may still reflect legacy branding. Please note that all listed roles are Solventum positions, and our Privacy Policy: *************************************************************************************** applies to any personal information you submit. As it was with 3M, at Solventum all qualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
Job Description:
AI Scientist - Modern AI Applications
3M Health Care is now Solventum
At Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.
We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.
The Impact You'll Make in this Role
As a Principal AI Scientist with deep expertise in Agentic AI, Generative AI, and Natural Language Understanding (NLU), you will lead high-impact technical innovation in HIS applications. In this role, you will be a hands-on research and development leader - driving technical breakthroughs, designing novel AI architectures, and directly influencing the integration of advanced AI into mission-critical healthcare products. You will collaborate closely with other scientists, engineers, and domain experts to create solutions that are explainable, reliable, and transformative for healthcare operations.
Key Responsibilities
Research & Innovation
Design, prototype, and evaluate novel AI models for autonomous, agent-based systems in healthcare workflows.
Advance state-of-the-art NLU for clinical, operational, and administrative healthcare text.
Explore and implement new capabilities in reasoning, decision-making, and multi-modal understanding.
Healthcare-Focused AI Development
Adapt and fine-tune large language models to handle healthcare-specific language, regulatory requirements, and ethical considerations.
Create AI pipelines that can process structured and unstructured healthcare data (FHIR, HL7, clinical notes, claims data).
Contribute to domain-specific model architectures that improve clinical decision-making, revenue cycle management, and patient engagement.
Technical Leadership
Serve as the primary technical authority on Agentic and Generative AI within project teams.
Mentor junior AI scientists and engineers through code reviews, research guidance, and technical workshops.
Drive internal knowledge-sharing on emerging AI trends, frameworks, and best practices.
Operational & Compliance Excellence
Implement rigorous model evaluation frameworks for accuracy, robustness, and fairness.
Ensure compliance with healthcare privacy and data security regulations (HIPAA, HITRUST).
Partner with engineering to move research prototypes into production environments.
Required Qualifications
Master's in Computer Science, AI, Machine Learning, or related field AND 5+ years of experience in AI/ML, with a strong portfolio of deployed models.
Or
PhD in Computer Science, AI, Machine Learning, or related field AND 3+ years of experience in AI/ML, with a strong portfolio of deployed models.
Experience in Python, R, and modern ML libraries.
Experience with GenAI, LLMs, and transformer architectures.
Experience with AI development tools and frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, RAG systems).
Preferred Skills
Multi-modal AI research experience (text, image, structured data).
Knowledge graph integration and symbolic reasoning expertise.
Proven ability to take AI research from concept to production.
Hands-on experience with autonomous AI agents and reasoning systems.
Strong track record applying AI to healthcare or life sciences use cases.
Familiarity with cloud platforms (AWS) and MLOps practices.
Work location:
US Remote
Travel: May include up to 10% domestic
Relocation Assistance: Is not authorized
Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status).
Supporting Your Well-being
Solventum offers many programs to help you live your best life - both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope.
Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.
Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process. Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.
Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain *****************. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.
Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.Solventum is an equal opportunity employer. Solventum will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.
Solventum Global Terms of Use and Privacy Statement
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Solventum are conditioned on your acceptance and compliance with these terms.
Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the
terms.
Auto-ApplyVariant Assessment Scientist I - Oncology (REMOTE, USA)
Remote job
Compensation:
$95,000 - $110,000 per year. You are eligible for a Short-Term Incentive Plan with the target at 5% of your annual earnings; terms and conditions apply.
Variant Assessment Scientist I, Oncology - Remote US
Responsibilities include variant analysis of diagnostic molecular genetic test results; evaluation of published literature, clinical data and review of both functional and in silico data to provide accurate, thorough, and thoughtful clinical interpretation of results. Write research articles in collaboration with other medical professionals and colleagues outside and inside the organization, if data is relevant to the scientific community. Additional responsibilities as designated by supervisor/manager and/or with increasing seniority (Variant Assessment Scientist II, Senior Variant Assessment Scientist).
Essential Functions
Write and interpret molecular test results, including relevant medical literature reviews and summary
Participate in updating variant classification guidelines and developing gene specific classification guidelines
Research novel ways to assess sequence variants
Manage and follow guidelines of variant pre-classification workflow to maximize reporting results within published turn-around times
Assist in the development of gene specific tools and database of gene specific information for variant assessment
Other duties as assigned
Qualifications
PhD and/or MD with expertise in molecular genetics, human genetics, molecular pathology or related field
MS in molecular biology, genetics or a related field with exceptional expertise and outstanding job performance is also considered
Thorough and ongoing knowledge of current theories and principles of human genetics
Excellent written and verbal communication skills to convey difficult information in a clear, kind, and respectful manner
Willingness and ability to work in and contribute to a fast-paced, highly collaborative environment
Preferred:
Prior experience in oncology and variant assessment
#LI-AC1 #LI-REMOTE
PRIVACY NOTICES
To review Ambry's Privacy Notice, Click here: *********************************************
To review the California privacy notice, click here: California Privacy Notice | Ambry Genetics
To review the UKG privacy notice, click here: California Privacy Notice | UKG
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Auto-ApplyStaff Applied Machine Learning Scientist
Remote job
Medium's mission is to deepen understanding of the world and spread ideas that matter. We are building the best place for reading and writing on the internet-a place where today's smartest writers, thinkers, experts, and storytellers can share big, interesting ideas; a place where ideas are judged on the value they provide to readers, not the fleeting attention they can attract for advertisers.
Role Overview
One of Medium's core operating principles is “humans first,” but sometimes to do that we need a little help from machine learning-which is why Medium is looking for an experienced Staff Applied ML Scientist to join our team. First and foremost, you'll own Medium's recommendation systems, which serves millions of readers every day by parsing through an ocean of posts and curating perfect literary pearls for each of them. Under the hood, it's a sophisticated and modern ML pipeline, fueled by a two-tower model and separate deep retrieval and ranking stages.
Beyond recommendations, you'll also develop ML models to protect our readers from the burgeoning world of AI slop and spam, explore and evangelize new applications for machine learning across Medium's business, and leverage machine learning to ensure that Medium always puts humans first.
Key Responsibilities
You'll help us apply machine learning thoughtfully across Medium - starting with recommendations, but extending far beyond them. You'll look for places where ML can make the reading and writing experience more personal, relevant, and human.
Experiment with ideas like smarter
post discovery
that helps writers find their natural audience.
Explore opportunities for personalization, quality detection, topic modeling, or even AI-assisted editorial curation - all grounded in improving understanding, not chasing engagement for its own sake.
Work closely with design, product, and engineering partners to translate ambiguous user needs into well-framed ML problems.
Drive the research. Lead with curiosity and precision. You'll design and interpret experiments, bring statistical rigor to our experimentation, and keep a critical eye on things like bias and spurious correlation in our thinking.
Bring organizational leverage. Work across teams to ensure that ML improvements are well-integrated into the product, not off to the side. You'll regularly influence decision-making through cross-functional collaboration, helping product and engineering leaders spot where ML can create leverage and where it shouldn't.
Own and continuously improve our recommendation systems. Evolve our two-tower retrieval and ranking stack, refine our feature set, and push on model quality, latency, and interpretability.
Find new and innovative ways to use ML techniques to better serve our community of readers and writers. This might mean smarter spam and slop detection, writer quality modeling, or intelligent routing of human moderation. The goal: keep Medium a place where humans thrive, not bots.
Positively contribute to the broader culture and data ecosystem at Medium. Mentor others, document your work with clarity, and help raise the bar for how we think about, design, and deploy ML systems. Share learnings generously and make the people and systems around you better.
Attend Medium's twice-yearly, in-person offsites (hosted in locations around the U.S.).
Skills, Knowledge and Expertise
You've been designing and building software for at least 7 years, with at least 3 years focused on architecting and shipping consumer-facing ML models.
You have experience integrating ML into end-user products (recommendation, ranking, personalization, moderation). You have a proven track record of developing and deploying ML models that deliver measurable business and user impact, not just theoretical gains.
You embody the “applied” in applied ML: You enjoy the research, but love seeing models ship, move metrics, and make people's experiences better.
You're fluent in Python and ML libraries such as TensorFlow, HuggingFace Transformers, and scikit-learn. You're comfortable taking models from notebook to production. It's a huge added bonus if you have experience with Apache Spark for distributed or large-scale training.
You're an excellent collaborator, able to translate between data, product, design, and engineering worlds, helping non-ML partners see what's possible (and what's not). You're excited to be “the voice of ML” in business and product conversations.
You're skilled at identifying and evangelizing high-leverage ML opportunities across the organization, from recommendation systems to new personalization or quality signals.
You have hands-on experience with modern model architectures and techniques e.g., feature interaction modeling, advanced negative sampling and bias correction techniques, and efficient large-scale candidate retrieval.
(Bonus) You're curious about content discovery, publishing, or online communities, and have a soft spot for writing, ideas, and helping great work get found.
Nice to Haves
Experience with modern recommender systems.
Experience utilizing modern AI tooling to accelerate development efforts.
A passion for online writing, publishing, or long-form content.
Familiarity with Medium, as a reader, writer, or both!
Benefits
In addition to the new skills you'll pick up, here's what else you'll enjoy by working at Medium:
Working with a fully distributed team: We're fully remote and have teammates across the U.S. & France.
Healthcare benefits covered at 100% for employees and 70% for dependents.
Generous parental leave policy.
Mental health support through Talkspace.
Financial wellness support through Northstar.
Stipends for co-working, professional development, wifi, and a one-time home office bonus.
Unlimited PTO and standard company holidays.
A discounted Medium membership!
At Medium, inclusion, diversity, and equity are core to how we work and what we build. We believe a more inclusive team creates a better product-one that's intuitive, thoughtful, and serves a wide range of users. We strive to foster a supportive, fun, and challenging environment where people from all backgrounds can thrive.
We welcome applicants from all walks of life and strongly encourage those from historically underrepresented groups to apply. Our hiring process is built to ensure fairness and equal opportunity for everyone. Even if your experience doesn't match every requirement, we'd still love to hear from you-your perspective and passion matter more than checking every box.
Learn more about our mission, operating principles, and culture:
Yes to a diverse community
Be part of a better internet
Medium Rules
Operating Principles
Read about our story here.
Please note: We've been made aware that our job postings may appear on third-party sites that are not affiliated with our company. To ensure your application is received and reviewed, please apply directly through our official Greenhouse careers page. We do not collect applications through external job boards or services that request your personal information outside of Greenhouse.
Additionally we request that all applications and supplemental questions be filled out directly by applicants themselves without the use of AI assistance.
Salary Range$250,000-$300,000 USDGDPR Notice
We will process your personal data as part of our recruitment process, in accordance with the General Data Protection Regulation (GDPR). For details on how we use your data, including the legal bases for processing, how long we retain it, and your rights under GDPR, please refer to our Privacy Notice.
We may retain your information for future job opportunities based on our legitimate interest in building a talent pool. You can object to this at any time by contacting us at *********************.
CCPA Notice
If you are a California resident, you have rights under the California Consumer Privacy Act (CCPA), as amended by the California Privacy Rights Act (CPRA). These include the right to know what personal information we collect about you, the right to request deletion or correction of your data, and the right to opt out of certain uses.
During the hiring process, we may collect personal information such as your name, contact details, resume/CV, employment history, education background, and any information gathered through interviews or assessments. We may share this information with service providers who support our recruitment process, in compliance with CCPA/CPRA. This information is used solely for recruitment and hiring purposes.
We do not sell or share your personal information as defined under CCPA/CPRA. Candidate data is retained for up to 48 months for our legitimate business purposes and in accordance with applicable laws.
To exercise your rights or request more information, please contact us at *********************. This notice can also be found on our Privacy Notice.
Auto-ApplySr. Bioinformatics Scientist (Assay Development Analytics)
Remote job
About KariusKarius is a life science, venture-backed clinical metagenomics company, focused on elevating patient care through microbial insights. We are committed to advancing diagnostic science and technology to optimize the diagnosis and treatment of infectious diseases. Through the use of genomics and AI, we are driven to improve the diagnostic landscape for infectious diseases. Karius delivers unprecedented diagnostic insight detecting microbial cell-free DNA circulating in the body to assist physicians to make rapid treatment decisions.
Why Should You Join Us?Karius' core mission is to conquer infectious diseases through innovations around genomic sequencing and machine learning. The company's platform is already delivering unprecedented insight into the microbial landscape, providing clinicians with a comprehensive test capable of identifying more than a thousand pathogens directly from blood. Through this journey, we realized that the microbial cell-free DNA platform may hold value that goes well beyond the direct diagnosis of infections. You, as part of the Karius team, will be able to see the immense opportunity to expand the human knowledge around this emerging topic and apply it directly to critical problems in human health and disease.
Position SummaryYou are highly curious and creative and desire to continuously grow and improve in your goal to make an impact on patients. You will be a key member of the Assay Development Analytics (ADA) team that helps drive the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques. You will participate in experimental design, conduct thoughtful computational analyses by determining the analysis plan and executing it using the necessary tools and methodologies. You will work closely with colleagues in Molecular Biology to understand and deliver on our shared goals. You are a self-starter and always like to find ways to make things better.
Reports to: Sr. Manager, Bioinformatics
Location: Redwood City, CA or hybrid or remote
Primary Responsibilities• Individual contributor to Assay Development Analytics (ADA), which drives the computational aspects of assay development, focusing on analysis and optimization of new chemistries and lab techniques.• Participate in experimental design, conduct computational analyses, understand rationale, set the analysis plan, and execute using the necessary tools and methodologies to deliver innovative assays.• Work closely with colleagues across the Molecular Biology and Laboratory Operations teams to understand the properties of the assays and ways to improve our technologies.• Continue to grow and learn in the necessary mathematical, technological, and software aspects of the field through internal knowledge acquisition and staying current with the latest relevant literature.• Open to exploring multiple approaches for problem-solving and modeling including borrowing across a wide range of quantitative disciplines.• Ensure high standards of data integrity, quality control, and validation, while maintaining rigorous quality documentation and dissemination of scientific findings.• Provide clear visibility into areas of ownership and communicate weekly progress and results to stakeholders.• Continue to grow and learn in the necessary biological/scientific domains and technological aspects of the field through novel knowledge acquisition but also staying current with the latest relevant literature.• Share a passion for ensuring the quality of our statistical analysis, via reliability, reproducibility, and rigor.
What's Fun About the Job?Karius is operating at the edge of what is now known to be possible in infectious disease diagnostics. With that, comes a wave of new and incredible challenges and opportunities. To deliver on that value, you will be tapping into some of the most advanced technologies, architecting and innovating where the current solutions simply don't suffice. You will get to see how much your work really matters.
Travel: Travel to HQ on a quarterly basis if remote.
Physical RequirementsSubject to extended periods of sitting and/or standing, vision to monitor, and moderate noise levels. Work is performed in an office environment.
Position Requirements• Ph.D. in computer science, statistics, mathematics, physics, genetics, bioinformatics, metagenomics, or related fields (preferably with a focus on computational biology or machine learning) with 3+ years of postdoctoral and/or industry experience; OR Master's degree with 5+ years of directly relevant industry experience.• Publications demonstrating innovative investigation and interpretation of biological data. • Proven proficiency, and understanding of, modern statistics and machine learning.• Proven proficiency with high-dimensional, large-scale datasets characterized by low signal-to-noise.• Demonstrated excellence in communication and collaboration within cross-functional, multidisciplinary teams.• Self-starter with the ability to independently drive results and influence project direction.• Evidence of innovation in connecting biological insights to complex mechanisms of microbiome and host-environment interactions.• Familiarity with a range of relevant laboratory techniques (either through hands-on work or from collaborations with laboratory-focused colleagues).• Familiarity and experience with bioinformatics tools, approaches, and workflows, particularly those related to next-generation sequencing data analysis.• Familiarity with design of experiments (DOE) approaches to optimize process settings.
Personal Qualifications• Passionate, purpose-driven, and excited about Karius' mission: to conquer infectious diseases through innovations around genomic sequencing and machine learning.• Excellence at communication and collaboration within a cross-functional team.• Detail oriented with exceptional organizational and time management skills.• Self-starting mentality and ability to drive results.• Comfortable working in an environment which combines both research aspects as well as development.• Ability to work effectively and efficiently in a fast-paced (startup) environment.
DisclaimerThe above is intended to describe the general nature and level of work being performed by individuals assigned to this position. It is not intended to be an exhaustive list of all duties, responsibilities, and skills required. Responsibilities and duties may change or be adjusted to meet the needs of the company, and additional duties may be assigned as necessary. The job description is subject to change at any time at the discretion of Karius.
Equal Opportunity EmployerAt Karius, we value a diverse and inclusive workplace and provide equal employment opportunities for all applicants and employees and are committed to honor and invest in the full diversity of people, in our hiring, recruiting and development of employees across the Company. All qualified applicants for employment are encouraged to apply and will be considered without regard to an individual's race, color, sex, gender identity and gender expression (including transgender individuals who are transitioning, have transitioned, or are perceived to be transitioning to the gender with which they identify), religion, age, national origin or ancestry, citizenship, physical or mental disability, medical condition, family care status, marital status, domestic partner status, sexual orientation, genetic information, military or veteran status, or any other basis protected by federal, state or local laws. If you are unable to submit your application due to a disability, please contact us at *********************** and we will accommodate qualified individuals with disabilities.
Auto-ApplyMachine Learning Scientist (Remote Allowed)
Remote job
NOMA AI Mission:
NOMA is developing a novel AI platform for healthcare that leverages deep tech and machine learning to analyze multimodal medical data and help clinical teams proactively identify risks of medical complications. Our first product focus is on maternal hemorrhage and excessive bleeding of mothers that can happen during labor and delivery and continues to rank as a leading cause of maternal mortality and morbidity in the U.S.
The Opportunity:
NOMA AI Inc. is looking for candidates for a machine learning research engineer position to participate in developing cutting -edge machine learning and data analytic solutions in healthcare. The successful applicant will participate in the development, research, evaluation, and deployment of machine learning methodologies for real -time clinical decision systems, patient monitoring, and alerting solutions. Our team includes individuals with strong machine learning, software engineering, and healthcare backgrounds. In addition, we wish to reach out to talented individuals who are passionate about revolutionizing healthcare and who are interested in:
Working on problems that are at the forefront of both industry and scientific research in ML for healthcare
Researching, developing, and deploying real -time machine learning -based AI tools in healthcare.
Achieving long -term and ambitious product development goals while identifying intermediate milestones
Being independent problem solvers while operating in a collaborative environment
Requirements
Qualifications:
Ph.D. degree in Computer science, Machine Learning, AI, or another equivalent field
Relevant publications
Ability to rapidly iterate and evaluate machine learning methodologies to solve novel problems
Experience working with popular machine learning frameworks, including NumPy, Pandas, Scikit -learn, PyTorch, TensorFlow
Experience working with high -frequency signal and waveform data
Experience with time -series data, high -frequency data, prediction modeling, and imbalanced data
Expert Knowledge of Python.
Have experience in working and collaborating with others on team projects
Ability to deliver with limited guidance, working on problems that are not structured
5+ years of programming experience
Preferred Qualification:
Experience with medical data, electronic health records, biosensor data, etc.
Experience with real -time environments and model deployment
Experience with major cloud environments and other distributed systems
Interest and experience in software engineering (data pipelines)
BenefitsHealth insurance, 401(k), vision, dental, PTO, maternity/paternity leave,
Sr. Staff Quantitative Product Researcher, Monetization
Remote job
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace the flexibility to do your best work. Creating a career you love? It's Possible.
Pinterest is looking for a Sr. Staff Quantitative Researcher (Quant UXR) to lead quantitative research at the intersection of our consumer- and advertiser-facing orgs. We're looking for a seasoned quantitative researcher ready to identify the most important ecosystem-level questions and to create and execute a learning agenda to address them. In this role, you'll bring expertise in behavioral analysis, statistical modeling, and survey methods to design, execute, and communicate strategic research on a deadline in a fast-paced environment. You'll uncover opportunities and solutions that balance engagement and revenue goals, present your results to senior audiences, and partner with other leaders to develop strategy that executes on our learnings. With this role, you'll have ownership of a broad problem space, autonomy to set and execute the learning agenda, and impact over the holistic Pinner experience.
What you'll do:
Work across monetization teams and as needed collaborate with consumer facing orgs to define and address complex, monetization impacting ecosystem - questions with implications for the business and overall user experience
Proactively guide teams to the most important questions and problems to address for users and/or the business; set the quantitative learning agenda for Monetization and decide on the best approaches to address it
Prioritize and conduct quantitative research that varies in approach, scale, scope, timeframe and methodology, while balancing effort against priority and impact
Explore the intersection of perceptions/attitudes and behaviors through surveys and deep behavioral analysis
Participate in the development of user-centric metrics for Monetization teams while aiding in the development of core centric user metrics
Elevate topics from the learning agenda that would be best to present to senior leadership and tailor deliverables and socialization efforts for these audiences.
Bring together a holistic understanding of the problem space from behavioral analyses, experiment learnings, qualitative insights, and own work to inform product and business decisions
Lead strategic initiatives and actively engage in the development of strategy with Product, Design, Engineering, and Data Science partners
Partner with research managers to set the quantitative research direction and provide guidance to more junior quantitative researchers
What we're looking for:
Bachelor's/Master's degree in a relevant field such as human computer interaction or psychology or equivalent experience
7+ years of experience in quantitative product/user experience research with experience leading end-to-end quantitative research studies; an advanced degree in Statistics, Mathematics, or Economics is a plus but not required
Experience with Ad product development/UX research preferred
Knowledgeable of relevant statistical concepts (significance testing, regression/linear models).
Experience with a wide range of quantitative research approaches and methods, experimentation at scale, various survey methodologies and advanced data techniques (Max Diff, Conjoint, Segmentations, Drivers Analysis)
Experience with longitudinal analysis, multilevel/mixed effects modeling, and survey weighting and strong SQL and Quantitative Programming skills (R, Python, etc.).
Ability to synthesize data from multiple sources (surveys, behavioral, 3rd party) to craft clear insights with strategic business impact)
Strong storytelling skills with experience turning data into actionable insights and socializing across different departments (from ad sales executives to data scientists to high-level executives)
Adept communicator with a bias toward action and an excellent collaborator, able to build strong relationships within various cross functional teams within and outside of the monetization org.
Self-starter and problem solver who proactively partners with other (qual and quant) researchers and cross-functional partners, including Product, Data Science, Finance, Product Marketing, Content, Sales, Marketing, Comms, and Brand, to develop new research initiatives with high comfort working in ambiguity
Knows how to 'right size' research approach, i.e., when to deploy tried and tested tools and when to try something new
PhD preferred, in computational social sciences (e.g. Economics, sociology, psychology), statistics, computer science, related field, or equivalent practical experience
Relocation Statement:
This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.
#LI-BL5
#LI-REMOTE
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only$163,639-$336,903 USD
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
Auto-ApplyStaff Applied AI/ML Scientist - Search
Remote job
Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants.
By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.
About this role
As a Staff Applied AI/ML Scientist on the Search Group, you'll drive the technical vision, ML algorithm strategy, and system design powering one of the most critical levers for customer value and company growth-Search (think about what you do when you land on any e-commerce site). You'll lead the advancement of real-time Search and Recommendation systems behind our next-generation shopping experiences.
You'll operate at the forefront of algorithms-combining large language models, natural language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products/brands for any given query from the users.
This is a rare opportunity to own end-to-end personalization in a high-scale, deeply multi-modal environment-while mentoring a team of talented scientists and engineers.
What you'll do
Own the next-generation Search engine, integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized product feeds with
Design and productionize natural language search and discovery systems, enabling intelligent agents to generate relevant and personalized collections, explain search results, and assist retailers in browsing, filtering, and evaluation.
Lead model development and GPU-based deployment efforts, leveraging frameworks like Triton to scale inference reliably and efficiently.
Qualifications
7+ years of experience building large-scale ML systems, including 3+ years in search, recommendation, or ads ranking.
Hands-on experience with deep learning libraries (e.g. PyTorch) and vector search infrastructure (e.g. Faiss, ScaNN, Pinecone).
A strong track record of productionizing models that blend LLMs (e.g. BERT, GPT-class) with structured features to drive personalization.
A product-focused mindset and a bias toward execution-you move quickly from paper to prototype to production.
Strong Python skills, deep respect for system reliability and ownership, and experience operating in high-stakes environments.
Excellent communication and cross-functional influence-you raise the technical bar beyond your immediate team.
Great to Have
Contributions to open-source ML libraries or peer-reviewed publications in ML/AI.
MS or PhD in Computer Science, Statistics, or a related STEM field.
Salary Range
California: the pay range for this role is $224,000 to $308,000 per year.
This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.
Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Applications for this position will be accepted for a minimum of 30 days from the posting date.
Why you'll love working at Faire
We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process.
We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners.
We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy.
We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality.
Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.
Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (**************************
Privacy
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************
Auto-ApplySenior Toxicologist
Remote job
Are you looking to join an organization that is growing and dynamic? What about a high-energy, collaborative environment that rewards hard work? J.S. Held is a global consulting firm that combines technical, scientific, financial, and strategic expertise to advise clients seeking to realize value and mitigate risk. Our professionals serve as trusted advisors to organizations facing high stakes matters demanding urgent attention, staunch integrity, proven experience, clear-cut analysis, and an understanding of both tangible and intangible assets. The firm provides a comprehensive suite of services, products, and data that enable clients to navigate complex, contentious, and often catastrophic situations.
* Provide expert toxicological analysis and consulting on matters involving human health risk, chemical exposure, product safety, and regulatory compliance.
* Review and interpret toxicological data, exposure assessments, and risk evaluations.
* Serve as a subject matter expert in litigation support and regulatory.
* Maintain strong relationships with existing and prospective clients.
* Develop proposals, scopes of work, and pricing strategies for toxicology-related services.
* Not expected to serve as a testifying expert.
Qualifications
* Ph.D. in Toxicology or board certification if the Ph.D. is in a related field.
* Minimum of 5 years of professional experience managing complex toxicology projects.
* A consulting background is desirable but not mandatory.
* Strong understanding of regulatory frameworks (e.g., REACH, CLP, OSHA, EPA, etc.).
* Proven success in client relationship management.
* Excellent communication, presentation, and interpersonal skills.
* Strong technical writing skills.
* High attention to detail and enjoys working on a variety of different projects simultaneously.
Additional Information
Some of the Benefits We Have Include
J.S. Held understands all our employees are people and sometimes life needs flexibility. We work to always provide an environment that best supports and suits our team's needs.
* Our flexible work environment allows employees to work remotely, when needed
* Flexible Time Off Policy
* Medical, Dental, and Vision Insurance
* 401k Match
* Commuter Benefits
A reasonable estimate of the salary range for this role is $150,000 - $180,000. Any offered salary range is based on a wide array of factors including but not limited to skillset, experience, training, location, scope of role, management responsibility, etc.
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties, or responsibilities required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
By submitting your application, you acknowledge that you have read the J.S. Held Online Privacy Notice and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as required and described therein. California residents can click here to learn more about the personal information we collect and here to learn about additional privacy rights that may be available.
Please explore what we're all about at ***************
EEO and Job Accommodations
We embrace diversity and our commitment to building a team and environment that fosters professional and personal enrichment is unwavering. We are greater when we are equal! J.S. Held is an equal opportunity employer that is committed to hiring a diverse workforce. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin,
disability, protected Veteran status, age, or any other characteristic protected by law. If you are an individual with a disability and would like to request for a reasonable accommodation, please email *************** and include "Applicant Accommodation" within the subject line with your request and contact information.
#LI-IM1
Senior Researcher
Remote job
GiveWell is a research organization that identifies and funds cost-effective giving opportunities, focusing on global health and well-being. Our work is funded by tens of thousands of donors who rely on our research to inform their giving. We've grown from directing $1.5 million in 2010 to directing nearly $400 million in 2024.
Summary
GiveWell is seeking exceptional Senior Researchers to help us direct hundreds of millions of dollars annually to the most cost-effective global health and poverty alleviation programs. As part of our lean research team, you will have an outsized influence on our funding decisions and help us save and improve lives on a global scale.
You'll create and lead ambitious research agendas, answer complex questions, and inform high-impact grantmaking decisions by combining rigorous evidence review, cost-effectiveness modeling, and thoughtful judgment.
Some Senior Researchers may eventually choose to transition into an equivalently-leveled Program Officer role to lead a large grantmaking portfolio, while others choose to stay focused on leading significant research agendas. We're open to a wide variety of internal development options depending on your preferences and our needs.
The role
Senior Researchers are the intellectual leaders of GiveWell's work. In this role, you'll join a small senior team in setting ambitious research agendas, sifting through the countless questions we could try to answer and honing in on those that matter most. Your decisions will inform the allocation of hundreds of millions of dollars to dozens of grantees. You'll also communicate externally about our work and mentor and advise other members of the team.
You will shape a research agenda that brings rigor and creativity to the thorniest questions GiveWell faces. You'll execute that agenda by combining thorough review of empirical evidence, cost-effectiveness modeling, discussions with subject matter experts, understanding of the broader context, and your own judgment. In the course of your work, you might approach questions like these:
What should we believe about the impacts of improved water quality on all-cause mortality?
What is the impact of building footbridges in rural communities?
How can we model the general equilibrium effects of cash transfers?
How should we prioritize programs that reduce poverty relative to programs that reduce deaths?
How should we think about the opportunity cost of other actors' contributions to programs we fund?
How should we account for high levels of uncertainty in our cost-effectiveness estimates?
How do we use effects from trials conducted 30 to 40 years ago to predict impacts today?
After gaining experience on the team, Senior Researchers pursue a few pathways for career development based on their preferences and GiveWell's needs. Some choose to develop wider and more autonomous research agendas as individual contributors, while others take on people management responsibilities. Another potential pathway is to transition into a Program Officer role, which is a lateral move-we don't conceptualize the Senior Researcher role as a training ground for program work. All of GiveWell's Program Officers are also researchers with strong technical training and a penchant for sketching out a model when they're not sure how to approach a problem.
Program Officers typically own high-impact, cost-effective grantmaking portfolios by deepening their expertise, growing their networks, and understanding the broader context within a specific grantmaking area. They think through questions like:
How should we balance exploring and seeding new, smaller opportunities with funding cost-effective opportunities at scale today?
How can we triangulate empirical evidence against expert opinion on other qualitative features, like organizational track record?
What is research we can fund today that could substantially impact our grantmaking five years from now?
How much uncertainty are we willing to accept before making a grant? What key research questions do we need to answer before making a grant, and which ones can we deprioritize or answer later?
Team structure
Our research department has nearly 50 people, and is currently organized into eight teams:
Five of the teams (Water, Livelihoods, Nutrition, Malaria, and Vaccines) focus on specific areas of grantmaking.
The New Areas team focuses on interventions in domains that are new to GiveWell.
The Cross-Cutting team focuses on methodological issues, research quality, and other big-picture concerns that cut across all of our research work.
The Commons team provides generalized research support to each of the other teams, including landscaping research, vetting, and publishing.
In most cases, we hire Senior Researchers without knowing which subteam they'll eventually sit on. We aim to expose our new senior team members to different types of work and parts of the team over several months to inform their eventual subteam placement. (We might settle on a subteam more quickly if new hires bring specific, specialized expertise.)
Team values
We think our research team has unique qualities:
We care deeply and centrally about finding and sharing truth. Truth-seeking is one of our core values. We post our mistakes and we prize our team members who keep our culture of free-flowing feedback strong.
We are independent. We focus 100% on finding the most cost-effective opportunities to save and improve lives. Our researchers assist in communicating our research findings to the public and our donors, and on occasion we provide tailored advice to ultra-high-net-worth donors who want to rely on our expertise to direct their giving-but we never ask our researchers to trade off against honesty, or to hide their real beliefs.
We don't waste time. Once it's clear that a particular research question is unlikely to change our bottom-line funding recommendation, we drop it as quickly as possible. We encourage our research staff to constantly re-evaluate their portfolios and only work on the highest-priority questions.
Lean research team = huge personal impact. Our research team of just under 50 people directs hundreds of millions of dollars annually.
We work well together. Our research team is lean because we're able to attract top-tier people, all of whom complete skills-based assessments before joining our staff. We maintain a high-performing, collegial culture and pay our staff accordingly.
About you
Senior Researchers must have quantitatively-oriented advanced degrees and substantial relevant experience using empirical tools to make rigorous, evidence-based decisions in the real world. Practically, our senior research staff typically has 5-10 years of post-grad work experience prior to joining GiveWell. We're happy to consider applicants who do not have advanced degrees, but we'll look for a commensurate amount of relevant experience. You can review our staff bios here for more practical insight on the backgrounds and experience of our current team.
We expect that people with the soft qualities below will be the most successful and happy on our team. This isn't a full list, but hopefully it conveys the gist of our team's professional personality:
GiveWell's mission and methods are personally energizing-you like our approach to research and you find personal meaning in our story of impact.
You're abnormally curious-you ask lots of questions, and you're willing to interrogate others' work. Your curiosity also extends to your own work-you aren't defensive when your research comes under scrutiny.
You routinely think about and surface the value judgments, background knowledge, and strategic commitments that undergird your work. You understand the potential effects of mistaken mental models, so you strive to improve yours and your team's.
You dislike it when people express strong confidence in views that don't seem to rely on commensurate evidence. You carefully and legibly communicate about your confidence levels.
You appreciate the value of an excellent reputation and strong relationships. You can moderate your directness and intensity when you're communicating with external folks.
You love a gnarly problem. You figure out the most important questions to answer, go deep on the details where they matter (and move on where they don't), and reassess your mental models based on what you've learned.
You constantly assess whether you and the team are working on the most important things.
The details
Compensation: We set salaries using a location-based tier system. Our pay for this role:
NYC or the San Francisco Bay Area: $226,800.
All other U.S. locations: $205,600.
International: Similar to the “all other U.S. locations” salary, based on historical exchange rates and delivered in locally-denominated currency. We can share a precise figure upon request after the first work trial stage.
Benefits: Our benefits include:
Fully funded health, dental, vision, and life insurance (we cover 100% of premiums within the US for you and any dependents)
Four weeks of paid time off per year
16 weeks of fully paid parental leave
Ergonomic home workstations or coworking space memberships
403(b) retirement plan
Location: GiveWell's staff work primarily remotely within the U.S. and abroad. This position is eligible to work fully remotely.
Offices: You are welcome but not required to work from our offices in Oakland, California; Brooklyn, NYC; or London, UK. We'll cover relocation expenses for candidates who wish to move to any of our physical office locations.
International work: We are happy to employ staff internationally on a case-by-case basis. A successful candidate will need to commit to a work schedule that has some overlap with American working hours and the schedules of key coworkers.
Flexibility: We support and encourage flexible working, including flexible hours, working remotely, and working from the office when you choose. The majority of our staff, including senior management, work flexibly in one way or another.
Visa Sponsorship: If you want to work in the United States and need a work visa, we'll do our best to sponsor it (and also cover up to 100% of relocation expenses on a case-by-case basis). Please note that government entities ultimately dictate our ability to sponsor visas.
Travel: Research team members are sometimes required to attend international site visits and conferences (on average 1-2 per year), with additional travel for those interested in traveling more. Additionally, we strongly encourage staff members to attend quarterly whole-org and department retreats to bond with other team members and complete in-person work. We'll discuss travel obligations in more detail during late stages of the hiring process, and we'll accommodate staff who have conflicting family or other obligations.
Miscellaneous details:
After application review, our hiring process consists of a short application exercise and up to 15 hours of compensated work trials. You can see more details about our hiring process on our FAQs page!
We devote significant staff capacity to initial application review, and we respond to all applications as quickly as possible.
We're aiming to hire four to six full-time Senior Researchers.
We have a strong preference for full-time applicants, but we'll consider applications for part-time work. We aren't interested in reviewing applications for contract or project-based work at this time.
If we settle on an application deadline, we'll write it in bold here. If you're on our website job posting and don't see a deadline, there is no deadline. If you're reading this on an external job board and don't see a deadline, you should double-check on our website.
You don't need to submit a cover letter-we rely mainly on your resume and answers to the application questions below when we're making early decisions.
About GiveWell
GiveWell is dedicated to finding and funding outstanding giving opportunities in global health and development, sharing the full details of our analysis with everyone for free. Our giving funds enable donors to contribute to the most impactful and cost-effective programs our researchers identify.
Since 2007, we've directed over $2.6 billion to cost-effective programs and interventions. In the last two years, we've made more than $500 million in grants. GiveWell is one of the world's largest private funders of global development efforts, and we estimate that the funding we've directed will save more than 340,000 lives.
GiveWell is most well-known for recommending a small number of Top Charities, which currently support seasonal malaria chemoprevention, antimalarial nets, vaccine incentivization, and vitamin A supplementation. However, most of our research capacity is devoted to finding cost-effective opportunities outside of those programs.
GiveWell grants have:
Helped governments to implement high-impact health programs, like in-line chlorination of drinking water in India and HIV/syphilis screening and treatment for pregnant people in Zambia and Cameroon.
Funded program delivery alongside strengthened monitoring and evaluation, as in our grants to support treatment of clubfoot and to evaluate the program.
Sought to scope and scale promising interventions that don't have clear existing implementers. We are supporting the Clinton Health Access Initiative's Incubator and Evidence Action's Accelerator to identify potentially cost-effective interventions and create programs that we would be excited to support in the future. For example, we funded a program to provide diarrhea treatment to children in Nigeria that we co-designed with CHAI through the Incubator program.
Tested our assumptions through further research, including studies on the effect of water chlorination on mortality, the impact of a tree-planting program on farmers' income, and the effects of combining the RTS,S malaria vaccine and perennial malaria chemoprevention.
We never take for granted that GiveWell's work is good for the world. We make our reasoning public and transparent so others can challenge it (sometimes we even pay people to point out our errors). We go to unusual lengths to check our assumptions and assess our impact, including funding research and external analysis to address our uncertainties and insisting that our grantees conduct rigorous monitoring and evaluation. We change our minds when the evidence demands it.
Additional information
We don't want to miss candidates that could do great things at GiveWell. Practically, that means a GiveWell staff member reviews every application carefully, considering the whole picture of your background and potential. If you're on the fence about applying because you meet some but not 100% of our preferred qualifications (some studies suggest this hesitation is especially common for women and people of color), we encourage you to apply anyway.
GiveWell is an Equal Employment Opportunity employer by choice. At minimum, this means that we comply with all federal, state, and local EEO and employment laws. Beyond the requirements of those laws, we value our team's diversity in all respects, and we desire to maintain a work environment free of harassment or discrimination-we want our team members to thrive at GiveWell. If you need assistance or an accommodation due to a disability, contact us at ********************. We will consider employment for qualified applicants with arrest and conviction records.
By submitting an application, you acknowledge that you have read and consent to GiveWell's Privacy Statement for Applicants. By completing an application exercise, you acknowledge and assent to GiveWell's Work Trial Policy.
Auto-ApplySenior Quantitative Researcher Equities - Remote
Remote job
SCM is committed to a workplace that values and promotes diversity, inclusion and equal employment opportunity by ensuring that all employees are valued, heard, engaged and involved at work and have full opportunities to collaborate, contribute and grow professionally.
We are currently seeking a highly driven, well organized, and motivated candidate to join our team. SCM offers the opportunity to work in person, remotely or in a hybrid work environment.
Primary Responsibilities:
Develop, implement and evaluate quantitative trading models in the global equity markets.
Continuously improve trading models and modeling techniques.
Identify orthogonal factors to enhance overall portfolio performance.
Requirements:
5+ years quantitative hedge fund or proprietary trading experience.
Experience utilizing statistical modeling techniques to develop quantitative trading models.
Keen focus on achieving outstanding risk adjusted returns.
Strong interest in the financial markets.
Exceptional economic intuition.
Degree(s) in statistics, mathematics, computer science or other technical disciplines.
The base pay for this position is anticipated to be between $150,000 and $300,000 per year. The anticipated annual base pay range is current as of the time this job post was generated. This position is eligible for other forms of compensation and benefits, such as a bonus, health and dental plans and 401(k) contributions, which includes a discretionary profit sharing program. An employee's bonus and related compensation benefits can be a significant portion of total compensation. Actual compensation for successful candidates will be carefully determined based on a number of factors, including their skills, qualifications and experience.
Auto-ApplyGenerative AI Scientist
Remote job
Egen is a fast-growing and entrepreneurial company with a data-first mindset. We bring together the best engineering talent working with the most advanced technology platforms, including Google Cloud and Salesforce, to help clients drive action and impact through data and insights. We are committed to being a place where the best people choose to work so they can apply their engineering and technology expertise to envision what is next for how data and platforms can change the world for the better. We are dedicated to learning, thrive on solving tough problems, and continually innovate to achieve fast, effective results. If this describes you, we want you on our team.
Want to learn more about life at Egen? Check out these resources in addition to the job description.
Meet EgenLife at EgenCulture and Values at EgenCareer Development at EgenBenefits at Egen
About the opportunity: In this role, you'll join our growing team focused on building Generative AI applications for document summarization, classification, and question and answer using unstructured and structured data. This team works with companies of all sizes, from startups to Fortune 100, that are leaders in their fields, pushing the limits of possible. You will develop applications on Google Cloud, work with customers to understand their requirements, suggest new ideas and features to the team, improve the product further, and implement the new functionalities with a passion for quality. You will implement best practices and state-of-the-art techniques for AI and LLMs and work on research, experimentation, and implementation of novel methods.Qualifications:
Required hands-on experience designing and implementing applications using Large Language Models (LLM). More specifically:
Python programming.
Google Gemini, OpenAI GPT, LLaMA, or similar models.
LangChain, LlamaIndex, or similar frameworks.
Advanced prompt engineering.
Retrieval Augmented Generation (RAG).
Vector databases (GCP Vector Search, ChromaDB, Pinecone, pgvector, or similar).
The ideal candidate will also have experience in one or more of the following:Bachelor's or Master's degree in Computer Science, Engineering, or related field.
LLM model fine-tuning.
Embedding model fine tuning.
Shell scripting.
Google Cloud Vertex AI (AutoML, AI APIs, etc.).
Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving).
MLOps (ideally on GCP).
Data Engineering (including SQL).
Personal Attributes:
Strong ethics.
Strong technical aptitude.
Engineering mindset/developer background.
Strong sense of ownership and teamwork.
Curious, always learning to get better.
Enjoys working with clients.
Excellent communication skills.
Compensation & Benefits:
This role is eligible for our competitive salary and comprehensive benefits package to support your well-being:- Comprehensive Health Insurance- Paid Leave (Vacation/PTO)- Paid Holidays- Sick Leave- Parental Leave - Bereavement Leave- 401 (k) Employer Match- Employee Referral Bonuses
Check out our complete list of benefits here - >********************************
Important: All roles are subject to standard hiring verification practices, which may include background checks, employment verification, and other relevant checks.
EEO and Accommodations:
Egen is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Egen will also consider qualified applications with criminal histories, consistent with legal requirements. Egen welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.
Auto-Apply
Zoetis Veterinary Medicine Research and Development (VMRD) seeks a skilled Toxicologist to join the Toxicology Group within Clinical Pharmacology and Safety Sciences based in Kalamazoo, MI. This challenging and dynamic role provides global toxicology and safety assessment support. The successful candidate will collaborate across VMRD and Global Manufacturing and Supply (GMS) to develop scientifically rigorous safety assessments supporting product safety across therapeutic areas, veterinary species, human health, and manufacturing processes.
Responsibilities:
Toxicological Assessment for Drug Products: Conduct safety assessments for formulation excipients, degradants, raw materials, and residual solvents in active pharmaceutical ingredients (APIs) and drug products
Toxicological Assessment for Manufacturing: Qualify impurities in the manufacturing process of APIs and drug products; conduct safety assessments for extractables and leachables, cross-contamination of products in shared facilities, and establish cleaning limits.
Occupational Safety: Develop Occupational Exposure Limits (OELs/ OEBs) following Zoetis processes and procedures.
User and Worker Safety: Provide product user and worker safety support for project teams, including risk assessments, exposure scenario calculations, risk mitigation proposals, packaging recommendations and label language development.
Safe Exposure Level Development: Establish Threshold of Toxicological Concern (TTC) and health-based exposure limits, including Permitted Daily Exposure (PDE), Acceptable Daily Intake (ADI), and Margin of Exposure (MoE).
Health Hazard/ Medical Assessments: Support pharmacovigilance, product quality, and qualification of out-of-specification batches.
Regulatory Support: Assist with REACH registration for API intermediates and raw materials, and address global regulatory queries related to the safety of registered products.
Toxicology Data Analysis & Literature Review: Perform rigorous toxicology gap analysis, literature data mining, and critical evaluation of toxicological information to support product development and registration.
Hazard Communication and Chemical Regulatory Compliance (Preferred): Experience in preparing Safety Data Sheets (SDS), classifying drug substances and process intermediates according to the Globally Harmonized System (GHS) and national requirements, and horizon scanning and monitoring of chemical regulations.
Cross-Collaboration and Technical Leadership: Engage in multidisciplinary collaboration within R&D, and with Manufacturing, Product Quality, and Sustainability, to develop and integrate key knowledge areas and expertise into actionable business insights.
Regulatory & Scientific Engagement: Support regulatory compliance, trade association participation, and involvement in professional organizations relevant to toxicology.
Travel Requirement: This role involves up to 10% travel for collaborations, regulatory engagements, or conferences as needed.
Minimum Qualifications
Ph.D. (or equivalent) plus at least 2-3 years of experience in toxicology or closely related discipline is critical. Master's degree in toxicology or closely related discipline with 8 years of relevant experience shall be considered.
Demonstrated experience in preparing regulatory-quality technical documents or toxicology dossiers, with strong technical writing skills (e.g., protocols, reports, journal articles)
Experience in study design, implementation, and interpretation of studies evaluating in vivo and in vitro toxicity or similar experience.
Highly organized with strong problem-solving skills, capable of performing rigorous scientific assessments.
Ability to prioritize tasks, make informed decisions, and collaborate effectively in a global matrix environment.
Excellent verbal and written communication skills in English.
Proficiency in MS Office, and toxicology databases for literature research and data analysis
Desirable Skills, Experience, and Attributes:
Board certification in toxicology (e.g., DABT, ERT) and/or DVM.
Knowledge of global regulatory requirements for toxicology risk assessment and documentation to support product safety and chemical registrations.
Experience in preparing safety data sheets.
The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be located in (Colorado). Base pay may vary based on location and other factors.
Base Pay Range: $91,000 - $131,000
The following base pay range reflects the anticipated base pay for this position if a selected candidate were to be
located in (California), (NJ Remote), (NY Remote), or (Washington). Base pay may vary based on location and other factors.
Base Pay Range: $103,000 - $148,000
[This position is eligible for short-term incentive compensation.] [The position is also eligible for long-term
incentive.]
We offer a competitive and comprehensive benefits package, which includes healthcare, dental coverage, and retirement savings benefits along with paid holidays, vacation and disability insurance.
Full time RegularColleague
Any unsolicited resumes sent to Zoetis from a third party, such as an Agency recruiter, including unsolicited resumes sent to a Zoetis mailing address, fax machine or email address, directly to Zoetis employees, or to Zoetis resume database will be considered Zoetis property. Zoetis will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
Zoetis will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor but does not have the appropriate approvals to be engaged on a search.
Zoetis is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status or any other protected classification. Disabled individuals are given an equal opportunity to use our online application system. We offer reasonable accommodations as an alternative if requested by an individual with a disability. Please contact Zoetis Colleague Services at ********************************** to request an accommodation. Zoetis also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as employment eligibility verification requirements of the Immigration and Nationality Act. All applicants must possess or obtain authorization to work in the US for Zoetis. Zoetis retains sole and exclusive discretion to pursue sponsorship for the acquisition or maintenance of nonimmigrant status and employment eligibility, considering factors such as availability of qualified US workers. Individuals requiring sponsorship must disclose this fact. Please note that Zoetis seeks information related to job applications from candidates for jobs in the U.S. solely via the following: (1) our company website at ********************** site, or (2) via email to/from addresses using only the Zoetis domain of “@zoetis.com”. In addition, Zoetis does not use Google Hangout for any recruitment related activities. Any solicitation or request for information related to job applications with Zoetis via any other means and/or utilizing email addresses with any other domain should be disregarded. In addition, Zoetis will never ask candidates to make any type of personal financial investment related to gaining employment with Zoetis.
Auto-ApplySenior User Researcher, Overwatch | Irvine, CA
Remote job
The concept of "Blizzard polish," that is, the infinite care and loving detail put into every aspect of our games, is something we take seriously and pride ourselves on delivering to our players, which is a responsibility shared across the company. Blizzard's Games User Research team is a close-knit group; we care about sharing knowledge, learning about players' experiences, actionable findings, and succeeding together. We genuinely love what we do for a living and expect the same from everyone who joins us. If your career is ready for its next great challenge, get in touch and let's get to work!
Join the ranks of a legendary force of adventurers, demons, orcs, and scientists to help provide the context and humanity of "why" and "how" our players engage with our games.
We are looking for a passionate and experienced Senior User Researcher to oversee and support the user research on Overwatch. You will give a voice to players from around the world by leading the effort of turning hard data into compelling stories, help craft the flow of our games/products, and be in the thick of team efforts to build great player experiences.
This role is anticipated to be a hybrid work position based on site at our Irvine, CA campus, with some work on-site and some work-from-home. The Senior User Researcher will report to the Senior Manager overseeing Overwatch research, while also receiving support from Blizzard's central research group.
Responsibilities
* Lead user research efforts for Overwatch, managing the full research pipeline including study scoping, design, execution, analysis, and reporting.
* Own the research roadmap for Overwatch, aligning long-term research plans with development milestones and production goals.
* Serve as the primary research point of contact for the Overwatch development team, building strong, trust-based relationships with stakeholders across disciplines.
* Deliver timely, actionable insights that shape design and development decisions throughout the product lifecycle.
* Tailor research deliverables to product and business needs, advocating for players at every stage of development.
* Support junior researchers by overseeing study design, reviewing plans and reports, and ensuring overall quality and consistency.
* Manage the intake and triage of research requests from the Overwatch team, aligning efforts with studio priorities and capacity.
* Mentor peers and contribute to the growth and quality of the research discipline at Blizzard.
Requirements
* Graduate degree in psychology, human-computer interaction, human factors, or related field, or comparable working experience.
* Minimum 5 years' experience conducting user research in video games or interactive media.
* Experience owning research for a shipped game or major product.
* Excellent written and verbal communication skills.
* Strong organizational and analytical abilities.
* Proven ability to turn research findings into actionable product improvements.
* Adaptable self-starter with a passion for user testing and games.
* Experience with FPS/TPS games or deep familiarity with Overwatch.
* Skilled in designing and running qualitative and quantitative studies.
* Proficient in survey design, statistics, and data visualization.
* Able to select and adapt research methods for complex product needs.
* Experience synthesizing data to inform product direction.
Pluses
* Experience mentoring or coaching other researchers.
* Experience working in a live service game environment.
* Experience conducting research across multiple platforms (console, PC, mobile).
* Familiarity with data tools and scripting languages such as SQL, Python, or R.
Your Platform
Best known for iconic video game universes including Warcraft, Overwatch, Diablo, and StarCraft, Blizzard Entertainment, Inc. (****************** a division of Activision Blizzard, which was acquired by Microsoft (NASDAQ: MSFT), is a premier developer and publisher of entertainment experiences. Blizzard Entertainment has created some of the industry's most critically acclaimed and genre-defining games over the last 30 years, with a track record that includes multiple Game of the Year awards. Blizzard Entertainment engages tens of millions of players around the world with titles available on PC via Battle.net, Xbox, PlayStation, Nintendo Switch, iOS, and Android.
Our World
Activision Blizzard, Inc., is one of the world's largest and most successful interactive entertainment companies and is at the intersection of media, technology and entertainment. We are home to some of the most beloved entertainment franchises including Call of Duty, World of Warcraft, Overwatch, Diablo, Candy Crush and Bubble Witch. Our combined entertainment network delights hundreds of millions of monthly active users in 196 countries, making us the largest gaming network on the planet!
Our ability to build immersive and innovative worlds is only enhanced by diverse teams working in an inclusive environment. We aspire to have a culture where everyone can thrive in order to connect and engage the world through epic entertainment. We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered!
The videogame industry and therefore our business is fast-paced and will continue to evolve. As such, the duties and responsibilities of this role may be changed as directed by the Company at any time to promote and support our business and relationships with industry partners.
We love hearing from anyone who is enthusiastic about changing the games industry. Not sure you meet all qualifications? Let us decide! Research shows that women and members of other under-represented groups tend to not apply to jobs when they think they may not meet every qualification, when, in fact, they often do! We are committed to creating a diverse and inclusive environment and strongly encourage you to apply.
We are committed to working with and providing reasonable assistance to individuals with physical and mental disabilities. If you are a disabled individual requiring an accommodation to apply for an open position, please email your request to accommodationrequests@activisionblizzard.com. General employment questions cannot be accepted or processed here. Thank you for your interest.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status, among other characteristics.
Rewards
We provide a suite of benefits that promote physical, emotional and financial well-being for 'Every World' - we've got our employees covered! Subject to eligibility requirements, the Company offers comprehensive benefits including:
* Medical, dental, vision, health savings account or health reimbursement account, healthcare spending accounts, dependent care spending accounts, life and AD&D insurance, disability insurance;
* 401(k) with Company match, tuition reimbursement, charitable donation matching;
* Paid holidays and vacation, paid sick time, floating holidays, compassion and bereavement leaves, parental leave;
* Mental health & wellbeing programs, fitness programs, free and discounted games, and a variety of other voluntary benefit programs like supplemental life & disability, legal service, ID protection, rental insurance, and others;
* If the Company requires that you move geographic locations for the job, then you may also be eligible for relocation assistance.
Eligibility to participate in these benefits may vary for part time and temporary full-time employees and interns with the Company. You can learn more by visiting ***************************************
In the U.S., the standard base pay range for this role is $92,920.00 - $171,814.00 Annual. These values reflect the expected base pay range of new hires across all U.S. locations. Ultimately, your specific range and offer will be based on several factors, including relevant experience, performance, and work location. Your Talent Professional can share this role's range details for your local geography during the hiring process. In addition to a competitive base pay, employees in this role may be eligible for incentive compensation. Incentive compensation is not guaranteed. While we strive to provide competitive offers to successful candidates, new hire compensation is negotiable.
Auto-ApplyResearch Scientist II
Remote job
See yourself at Dataminr
As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices.
AI Innovation at Dataminr
Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold.
Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here.
Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here
Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here.
The opportunity
Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning.
Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products).
Contribute to the research community via publications in top tier venues, participation in program committees, etc.
Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact.
Productionize and ship research into Dataminr's products, and thus to its users worldwide.
Senior candidates are expected to lead technical areas and/or people.
What you bring
At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed.
Ph.D. in Computer Science or related field
Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc.
Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.).
Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics.
Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus.
Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships).
#LI-Remote
#LI-BM
About Dataminr
At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts.
Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe.
As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here.
We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more.
We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities.
The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience.
Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status.
Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or
privacy@dataminr.com
.
Auto-Apply