Development Scientist remote jobs - 347 jobs

**Job Description**The 2-year Physician Scientist Program provides pharmaceutical medicine training and opportunities to physicians completing residency or fellowship with the goal of recruiting new talent and contributing to the organization's inclusion objectives. The program provides in-depth exposure to clinical drug development with emphasis on key elements of clinical trial planning, execution, data analysis and reporting of clinical trial results. Physician Scientists will develop skills working with clinical and cross-functional teams as clinical programs progress toward regulatory approvals.Successful candidates will spend their first year in one of the following areas: (a) **Global Clinical Development:** Understand the role and methods of pharmaceutical research, participate in the writing of research protocols, conduct of clinical trials, safety monitoring, analysis of data and communication of study findings; (b) **Global Regulatory Affairs and Clinical Safety:** Focus on late-stage and lifecycle drug activities, understand key regulatory policies and the procedures for interacting with health agencies (e.g. FDA); understand key elements in pharmacovigilance, drug safety monitoring, signal detection and processing of adverse reports; (c) **Global Medical/Scientific Affairs:** Exposure to the management of a product asset prior to, during and after the launch phase (US and Global) including caveats on drug promotion. After a successful first year, the Physician Scientist will be equipped to assume a leading role in the team with additional responsibilities and interactions. The Physician Scientist also has the opportunity to do a second 1-year rotation in another area instead.**Required Education and Experience:*** Candidates must currently hold an MD degree and have completed residency or fellowship training in an accredited US medical program, preferably within the last 5 years.**Required Skills:**Clinical Development, Clinical Research, Clinical Sciences, Clinical Trial Planning, Clinical Trials, Clinical Trials Monitoring, Communication, Drug Development, Drug Research, Ethical Standards, Good Clinical Practice (GCP), Medical Research, Medical Writing, Pharmaceutical Research, Pharmacy Regulation, Protocol Development, Regulatory Policies, Research Proposals, Scientific Consulting, Scientific Research**Preferred Skills:**Current Employees apply Current Contingent Workers apply**US and Puerto Rico Residents Only:**Our company is committed to inclusion, ensuring that candidates can engage in a hiring process that exhibits their true capabilities. Please if you need an accommodation during the application or hiring process.As an Equal Employment Opportunity Employer, we provide equal opportunities to all employees and applicants for employment and prohibit discrimination on the basis of race, color, age, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or other applicable legally protected characteristics. As a federal contractor, we comply with all affirmative action requirements for protected veterans and individuals with disabilities. For more information about personal rights under the U.S. Equal Opportunity Employment laws, visit:We are proud to be a company that embraces the value of bringing together, talented, and committed people with diverse experiences, perspectives, skills and backgrounds. The fastest way to breakthrough innovation is when people with diverse ideas, broad experiences, backgrounds, and skills come together in an inclusive environment. We encourage our colleagues to respectfully challenge one another's thinking and approach problems collectively.**U.S. Hybrid Work Model**Effective September 5, 2023, employees in office-based positions in the U.S. will be working a Hybrid work consisting of three total days on-site per week, Monday - Thursday, although the specific days may vary by site or organization, with Friday designated as a remote-working day, unless business critical tasks require an on-site presence.This Hybrid work model does not apply to, and daily in-person attendance is required for, field-based positions; facility-based, manufacturing-based, or research-based positions where the work to be performed is located at a Company site; positions covered by a collective-bargaining agreement (unless the agreement provides for hybrid work); or any other position for which the Company has determined the job requirements cannot be reasonably met working remotely. Please note, this Hybrid work model guidance also does not apply to roles that have been designated as “remote”.The salary range for this role is$190,800.00 - $300,300.00This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to relevant education, qualifications, certifications, experience, skills, geographic location, government requirements, and business or organizational needs.The successful candidate will be eligible for annual bonus and long-term incentive, if applicable.We offer a comprehensive package of benefits. Available benefits include medical, dental, vision healthcare and other insurance benefits (for employee and family), retirement benefits, including 401(k), paid holidays, vacation, and compassionate and sick days. More information about benefits is available at .You can apply for this role through (or via the Workday Jobs Hub if you are a current employee). The application deadline for this position is stated on this posting.**San Francisco Residents Only:** We will consider qualified applicants with arrest and conviction records for employment in compliance with the San Francisco Fair Chance Ordinance**Los Angeles Residents Only:** We will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance**Search Firm Representatives Please Read Carefully** Merck & Co., Inc., Rahway, NJ, USA, also known as Merck Sharp & Dohme LLC, Rahway, NJ, USA, does not accept unsolicited assistance from search firms for employment opportunities. All CVs / resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. Where agency agreements are in place, introductions are position specific. Please, no phone calls or emails.**Employee Status:**Regular**Relocation:****VISA Sponsorship:****Travel Requirements:****Flexible Work Arrangements:**Hybrid**Shift:****Valid Driving License:****Hazardous Material(s):****Job Posting End Date:**01/30/2026**\*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.** #J-18808-Ljbffr

The Clinical Scientist will collaborate closely with the clinical leader to develop clinical concepts and plans for molecules, with a particular focus on early oncology development. This role involves drafting protocol synopses, protocols, and amendments, as well as writing and reviewing informed consent forms. The Clinical Scientist will work with Clinical Operations on site selection and startup, and lead the writing of clinical sections for investigator brochures and NDAs/MAAs. This position also requires representation on clinical study teams and involvement in data review, including safety data and serious adverse events. Responsibilities Write clinical development concepts and plans for molecules at all stages of development, focusing on early oncology development. Draft initial and subsequent protocol synopses, protocols, and protocol amendments. Write and review informed consent forms and adjudicate site-specific requests. Collaborate with Clinical Operations on site selection and startup. Lead the writing and updating of clinical sections in investigator brochures. Write and review clinical and safety sections of NDAs/MAAs. Represent the medical function on clinical study teams. Review and interpret data listings, including safety data and serious adverse events. Author clinical study reports and associated publications. Create clinical study-related slide decks for internal and external use. Train colleagues, CRO, and study site staff on therapeutic areas, molecules, and protocols. Participate in opinion leader advisory boards. Conduct therapeutic area/indication research and competitor analysis. Build and maintain opinion leader and investigator networks. Support Health Authority interactions and provide responses to inspection observations and internal audits. Assist Medical Monitor for Phase 1 clinical trials, ensuring patient safety and guidance during study design, execution, and reporting. Present study results to internal and external committees or advisory boards. Author/review safety and efficacy summaries, clinical overviews, investigator brochures, risk management plans, and clinical sections of product labels. Essential Skills At least 4 years of industry experience in oncology. Experience in early phase oncology Participation in a clinical development program, preferably involving all stages of clinical trials. Experience in clinical trials with small molecules. Skilled in protocol design, interpretation, and medical monitoring. Experience in assessing adverse events and patient safety in therapeutic clinical trials. Knowledge of Good Clinical Practice (GCP). Excellent written and oral communication skills. Ability to adapt to a fast-paced and changing environment. Additional Skills & Qualifications Bachelor's degree in a relevant field. Postgraduate qualification in clinical oncology, such as a Master's degree. MD, Nurse Practitioner's License, PharmD, or PhD preferred. Work Environment The role requires working in a dynamic and fast-paced environment, where collaboration with cross-functional teams is essential. The candidate should be prepared to engage in both clinical and operational activities, and be comfortable presenting data at international scientific meetings. Forecasting 30 hours a week. Must be able to work PST Job Type & Location This is a Contract position based out of South San Francisco, CA. Pay and Benefits The pay range for this position is $140.00 - $190.00/hr. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan - Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave) Workplace Type This is a fully remote position. Application Deadline This position is anticipated to close on Feb 5, 2026. About Actalent Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 30,000 consultants and more than 4,500 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options.

A consulting firm in life sciences is seeking a full-time MES Consultant to provide consulting services to the biotech and pharmaceutical industries. The role involves software implementation, various software life cycle roles, and excellent client interaction. Candidates must have a Bachelor's degree in a relevant field and experience with MES tools. Travel to client locations is required, averaging 30-65%. This position offers a collaborative work environment with opportunities for career advancement. #J-18808-Ljbffr

Bancroft Construction Services is seeking a skilled QSD Stormwater Scientist to support our growing portfolio of construction and compliance projects throughout California. This role is responsible for ensuring full compliance with the Construction General Permit (CGP) through development and implementation of SWPPPs, conducting routine and storm-event inspections, managing stormwater sampling, and completing all regulatory reporting through SMARTS. The ideal candidate combines strong technical expertise with practical field experience and excels at communicating requirements to project teams, clients, and regulatory agencies. This position also plays a key leadership role by training and mentoring junior staff in CGP compliance processes, BMP implementation, inspection techniques, and digital documentation workflows. The QSD Stormwater Scientist supports the company's environmental commitment by helping ensure our construction activities exceed regulatory expectations and reflect Bancroft's high standard of environmental stewardship. This position is a remote position with travel to job sites within the Orange County, CA Key Responsibilities Prepare, update, and certify SWPPPs in accordance with the California Construction General Permit (CGP). Conduct pre-, during-, and post-construction stormwater inspections per CGP requirements. Ensure installation and maintenance of erosion control, sediment control, and good housekeeping BMPs. Conduct project-specific erosion and sediment control assessments and develop BMP designs. Collect and analyze Qualifying Rain Event (QRE) stormwater samples in accordance with CGP protocols. Conduct Non-Visible Pollutant (NVP) assessments and sampling when applicable. Develop, update, and certify SWPPPs in compliance with state and federal stormwater regulations. Register projects, upload SWPPPs, certify documents, and maintain project information in SMARTS. Track permit deadlines, data submissions, and maintain full regulatory compliance through SMARTS. Interpret and ensure adherence to the Construction General Permit and related Water Board regulations. Communicate with contractors, clients, and regulatory agencies regarding stormwater compliance. Provide compliance guidance to project teams and support permit-related decisions. Train and mentor junior staff on CGP compliance requirements and documentation Prepare inspection reports, compliance documentation, and regulatory submittals. Communicate site needs, compliance risks, and monitoring results to clients proactively Qualifications Bachelor's degree in Environmental Science, Civil/Environmental Engineering, Geology, Biology, Natural Resources, or a related discipline. (Preferred) Master's degree in an environmental or engineering field. QSD (Qualified Stormwater Designer) certification required or ability to obtain within 6-12 months. (Preferred) Additional certifications such as CPSWQ, CESSWI, CPESC, or similar. 2-5+ years of direct experience with the Construction General Permit (CGP) in California. Demonstrated experience developing and certifying SWPPPs, including risk assessments and BMP design. Hands-on experience conducting CGP inspections, and storm event assessments. Experience conducting stormwater sampling, including QRE sampling and NVP testing protocols. Proficiency in SMARTS (Storm Water Multiple Application and Report Tracking System) including permit registration, reporting, and certification. Familiarity with local municipal stormwater requirements, MS4 programs, and regional Water Board interpretations. Pay: Starting salary of $80,000-$100,000/annually This position is a remote position with travel to job sites within the Orange County, CA. Benefits: Competitive compensation based on experience and skills. Training provided. Opportunity to work with a dynamic and diverse team. Potential for growth based on performance. Excellent benefits program. About Bancroft: Our mission at Bancroft Construction Services is to provide quality environmental compliance consulting services with honesty, sincerity, and diligence. By providing environmental compliance consulting services, we demonstrate our devotion to ensuring California's waterways remain pure and unpolluted and its precious biological and cultural resources are protected and preserved for generations to come. We have a successful history working on a wide variety of projects, from California High Speed Rail Construction Package 4 to the Skookumchuck Wind Energy Project. We also have experience working on high-profile projects with companies such as Southern California Edison. Bancroft Construction Services, LLC is an Equal Opportunity Employer that does not discriminate on the basis of actual or perceived race, color, religious creed, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth and related medical conditions), gender identity or expression (including transgender status), sexual orientation, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law (such as cancer), genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. Bancroft Construction Services, LLC's management team is dedicated to this policy with respect to recruitment, hiring, placement, promotion, transfer, training, compensation, benefits, employee activities, access to facilities and programs and general treatment during employment.

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 *********************************.

Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We're building the AI Growth Engine that powers the next generation of consumer brands. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands. We own and operate our own digitally native brands (not an agency), with presence in Walmart, Nordstrom, and Amazon, and a strong global D2C footprint. Why Trafilea We're a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast. 🚀 We build and scale our own brands. 🦾 We invest in AI and automation like few others in eCom. 📈 We test fast, grow fast, and help you do the same. 🤝 Be part of a dynamic, diverse, and talented global team. 🌍 100% Remote, USD competitive salary, paid time off, and more. Job Responsibilities We're looking for a creative and results-oriented Growth Product Lead to design and deliver hands-on, value-driven experiences that customers engage with on a recurring basis. Our Subscriptions Tribe is responsible for scaling programs like Shapermint Club, Autoship, ShaperBox, and Credits into sustainable, high-performing initiatives that drive recurring revenue, increase order share, and maximize customer lifetime value. As Product Lead - Subscriptions & Loyalty, you will partner closely with Product Manager Camila Rodríguez and the Subscriptions Tribe to execute initiatives that strengthen retention, optimize subscription funnels, and deliver measurable improvements in churn, repurchase rate, and LTV. Own subscription growth experiments across Club, Autoship, Shaperbox, and Credits, turning hypotheses into MVPs and quick-win pilots. Map and optimize subscription journeys (onboarding, renewal, cancellation) to reduce friction and improve retention. Execute data-driven initiatives with clear KPIs (churn, RR45D, LTV uplift) and share insights through dashboards and reports. Collaborate daily with Product, Marketing, CX, BI, and Tech to align on roadmap priorities and manage dependencies. Design bold retention mechanics and personalization flows based on customer feedback, cohort analysis, and behavioral signals. Drive influencer/ambassador-style engagement by ensuring community-driven and loyalty mechanics connect with customer needs. Run agile practices (sprints, stand-ups, retros) to keep squads accountable and reduce operational load for Tribe leadership. Prioritize and scale successful pilots into playbooks for global markets (US, CA, UK, AU), fueling recurring revenue growth. Job requirements 2-4 years of experience in Growth/Product, ideally in e-commerce or SaaS. Strong growth-marketing mindset: designs hypotheses, tests quickly, iterates weekly. Fluent in cohort analysis, dashboards, churn, and retention metrics. Execution-driven: hands-on with no-code pilots, flow-building, and CRM triggers. Strong collaboration in cross-functional squads. Clear communication: async documentation and storytelling with data. Exposure to subscriptions or loyalty; deeper technical/financial skills to be built on the job. Basic agile methodology knowledge with willingness to own squad leadership practices. All done! Your application has been successfully submitted! Other jobs

About Spotfire Spotfire is a business unit of Cloud Software Group, one of the largest enterprise software companies in the world. Spotfire empowers businesses to their digital destinations by interconnecting everything in real time and providing visual data science for everyone, from business users to data scientists. Our more than 10,000 customers include: Majority of the top 10 Energy companies in the world Majority of the top 10 Life Sciences companies in the world 7 of the world's top 10 Manufacturing companies Several other major companies in banking, retail, and airlines We're looking for people with a passion to make a big difference by doing the job they love - dynamic individuals willing to take the risks necessary to make big ideas come to life and who are comfortable collaborating in our creative, innovation-driven environment. Overview Our global Field R&D team is a central part of the company strategy. The team focuses on applied innovation, customer needs, and the community of data scientists. A portion of the team's creations will end up in our products to scale its impact. The team is responsible for enabling our client's competitiveness by improving ROI from their investment in Spotfire. Operating across several sectors, our Field R&D Data Scientists have helped improve the drilling operations of several energy companies, built solutions for reducing fraud in financial trading, worked with NASA medical teams, helped increase yields at some of the biggest semiconductor companies, and initiated changes in California traffic laws. We are looking for a Field R&D Lead Data Scientist with experience in industry verticals such as Energy, Manufacturing, or similar to join our team. The right candidate is seeking an opportunity to deliver hands-on prowess and thought leadership to grow our customer's analytical capabilities with Spotfire. You will join a team of highly collaborative individuals as a key team member and play a significant role in developing our capabilities. You will lead field-inspired R&D projects, represent the company at industry events and contribute to the active customer and partner community. You will participate in technical customer engagements by developing analytical deliverables using methods from exploratory analytics to machine learning, statistical modeling, and AI. You will see R&D projects through its inception, design, deployment, customer feedback, and publication. Responsibilities The position entails the following responsibilities: Delve deep into energy, manufacturing, or similar types of analytical and data science challenges. Engage with customers through presales support and post-sales success projects. Perform and guide R&D topics in the field of applied machine learning and AI. Example topics of research and projects include Large Language Models, digital twin, anomaly detection in time series, or mathematical modeling of manufacturing processes. Create re usable data models, workflows and test suites in order to streamline project delivery. Provide input into product management and engineering for the product roadmap. Innovate in the areas of application and deployment of machine learning. Tool Kit Development: create demos and templates with data science libraries. Technical marketing: create white papers, blogs and content for the Spotfire user community. Represent the team as a speaker or instructor in industry events and external conferences. Participate in technical customer engagements through understanding Spotfire use cases, providing guidance, and building prototypes. Collaborate with stakeholders on specific industry knowledge, analytics use cases and customer stories related to data science or machine learning in the Energy sector Required Qualifications 5+ years of experience in advanced data analytics and delivery of demonstrations, projects, engagements or deployed software applications. Experience with applying advanced analytics such as machine learning and optimization techniques to large, complex and disparate data sources. 5+ years of experience in applying analytics to industry verticals such as Energy, Manufacturing, or similar. Superior communication and storytelling skills with data. The ability to comfortably communicate with customers' senior industry personnel, provide compelling presentations and demonstrations of analytics software, and the business value of analytics projects demonstrating domain knowledge in a key Industry such as Manufacturing, Energy, Telecommunications, Financial Services, Healthcare, or Retail. Capability to formulate a real-world problem into a mathematical equivalent, propose various solutions, compare and contrast them, deploy the solution, validate the results, and present the results to technical and non-technical stakeholders. 5+ years of experience with Python or R and some knowledge of SQL. Some experience with other software environments e.g. Spotfire, Tableau, Qlikview, SPSS, KNIME, Azure, AWS and/or other data mining tools will be a plus. Excellent communication and collaboration skills, with the ability to work effectively in a team environment and communicate technical concepts to non-technical stakeholders Strong problem-solving skills, with the ability to identify key areas for improvement and develop data-driven solutions to address them. A Master's or higher degree in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining. Desired Qualifications Experience with other software components for data preparation and integration e.g. Data Virtualization and Big Data tools such as Snowflake or Databricks and/or further programming or scripting environments e.g. .Net, Java, IronPython, Javascript, C++ is a plus. A PhD in STEM (Computer Science, Statistics, Data Science, Engineering, Science, or related analytical field of study) with graduate classes in statistics and data mining. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. Benefits may vary depending on the nature of your employment with Cloud Software Group and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others. Compensation may vary depending on your location, qualifications including job-related education, training, experience, licensure, and certification, that could result at a level outside of these ranges. Certain roles are eligible for additional rewards, including annual bonus, and sales incentives depending on the terms of the applicable plan and role as well as individual performance. NY generally ranges: $172,114-$258,172 CA generally ranges: $179,598-$269,396 All other locations fall under our General State range: $149,665-$224,497 Benefits may vary depending on the nature of your employment with Cloud Software Group and the country where you work. U.S. based employees are typically offered access to healthcare, life insurance and disability benefits, 401(k) plan and company match, among others. This requisition has no specific deadline for completion. About Us: Cloud Software Group is one of the world's largest cloud solution providers, serving more than 100 million users around the globe. When you join Cloud Software Group, you are making a difference for real people, each of whom count on our suite of cloud-based products to get work done - from anywhere. Members of our team will tell you that we value passion for technology and the courage to take risks. Everyone is empowered to learn, dream, and build the future of work. We are on the brink of another Cambrian leap -- a moment of immense evolution and growth. And we need your expertise and experience to do it. Now is the perfect time to move your skills to the cloud. Cloud Software Group is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination. All qualified applicants will receive consideration for employment without regard to age, race, color, creed, sex or gender, sexual orientation, gender identity, gender expression, ethnicity, national origin, ancestry, citizenship, religion, genetic carrier status, disability, pregnancy, childbirth or related medical conditions (including lactation status), marital status, military service, protected veteran status, political activity or affiliation, taking or requesting statutorily protected leave and other protected classifications. If you need a reasonable accommodation due to a disability during any part of the application process, please contact us via the Bridge portal for assistance.

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.Applicable to US Applicants Only:The expected compensation range for this position is $163,200 - $224,400, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate's relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: *************************************************************************************** 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. Before submitting your application you will be asked to confirm your agreement with the terms.

Lab/Area:Bioinformatics CoreDescription: Job Title: Bioinformatics Scientist The Gladstone Infectious Disease Institute is seeking an experienced Bioinformatics Scientist for the development of an AI platform for phage and viral evolution projects, as well as virome characterization and analysis, and to develop a computational pipeline for detecting biomarkers related to viral diseases using novel CRISPR technologies. The ideal candidate will have a strong background in bioinformatics, novel AI/ML approaches, a basic knowledge of virus biology, and experience with next-generation sequencing technologies, especially PacBio, combined with the ability to collaborate closely with experimental scientists in a highly interdisciplinary environment Responsibilities: Analyze next generation sequencing data to identify and characterize viral variant sequences Develop and apply machine-learning algorithms and work iteratively with a lab-based approach to refine algorithm and predictions Design primers or guide RNA for virus sequences for use in PCR, CRISPR-Cas and other molecular biology techniques Collaborate with other experimental and computational scientists to develop new bioinformatics tools and methods Stay up-to-date on the latest bioinformatics technologies and techniques Write scientific reports and manuscripts Present research findings at conferences and other scientific meetings Qualifications: Master's degree or more in bioinformatics, computational biology, or a related field 3+ years of experience in bioinformatics Strong programming skills in R, Python, or other bioinformatics programming languages Experience with next generation sequencing technologies especially analysis of Illumina and PacBio data Experience in machine learning, especially language models Basic knowledge of virus biology Excellent communication and presentation skills Ability to work independently and as part of a team Additional Information: Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. Remote working is an option. Title and salary will be commensurate with education and experience. Association with vibrant computational environment at Gladstone Gladstone is an equal opportunity employer. Salary Range: $92K - $108K Gladstone Perks & Benefits People -work with talented, committed, and supportive teammates within an organization that values each member of its community. A meaningful place to grow and learn -whether it's your professional skills or scientific knowledge, we have the resources and environment to advance either so you can better support Gladstone's mission to drive a new era of discovery in disease-oriented science and to mentor tomorrow's leaders in an inspiring and excellent environment. Healthy work/life balance -you are highly engaged and productive at work because you can have time to recharge and enjoy a vibrant life outside of work. Compensation -competitive salary. Title and salary will be commensurate with education and experience. Excellent benefits -generous medical, dental, vision, retirement plan, paid vacation, commuter benefits, access to free shuttle transportation. Gladstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, sex, religion, national origin, ancestry, age, marital status, medical condition, physical or mental disability, veteran status, sexual orientation, or any other non-job related characteristic. We make all employment decisions so as to further this principle of equal employment.

Sumitomo Pharma Co., Ltd., is a global pharmaceutical company based in Japan with operations in the U.S. (Sumitomo Pharma America, Inc.), focused on addressing patient needs in oncology, urology, women's health, rare diseases, cell & gene therapies and CNS. With several marketed products and a diverse pipeline of early- to late-stage investigational assets, we aim to accelerate discovery, research, and development to bring novel therapies to patients sooner. For more information on SMPA, visit our website ********************************** or follow us on LinkedIn. Job Overview We are currently seeking a dynamic, highly motivated, and experienced individual for the position of Scientist II. This position will be part of the Translational Research and Medicine-Oncology team, with a primary focus on advancing translational research to support oncology programs in clinical trial stages. This individual will be responsible for designing, oversighting, and interpretating translational studies to understand mechanism of action, resistance pathways, and potential new indications. The candidate may also be involved in biomarker analysis to support these translational objectives. Job Duties and Responsibilities Develop hypotheses by integrating insights from scientific literature, preclinical and clinical data Design experiments to support identification of mechanism of action, resistance mechanisms, and potential indications Manage translational research and biomarker studies conducted with CROs and academic investigators to ensure high-quality, timely delivery of data Maintain organized, detailed logs of studies and data to ensure accuracy, reproducibility, and compliance with regulatory standards Present data and insights in internal meetings and cross-functional program team discussions Key Core Competencies Scientific curiosity with ability to generate and test hypotheses that inform drug development Excellent problem-solving and critical-thinking skills to interpret complex data Strong organizational skills and attention to detail in managing studies, data, and documentation Strong project management and vendor oversight skills Adaptability and resilience in a fast-paced, evolving research environment Education and Experience PhD degree in a related field of science (Biology, Biochemistry, Molecular & Cellular biology, Cancer Biology, Immunology) 1-3 years of postdoctoral or industry research experience Familiarity with oncology research preferred Experience with common biomarker platforms (e.g. NGS, flow cytometry, IHC) preferred The base salary range for this role is $102,000 to $127,000. Base salary is part of our total rewards package which also includes the opportunity for merit-based salary increases, short incentive plan participation, eligibility for our 401(k) plan, medical, dental, vision, life and disability insurances and leaves provided in line with your work state. Our robust time-off policy includes flexible paid time off, 11 paid holidays plus additional time off for a shut-down period during the last week of December, 80 hours of paid sick time upon hire and each year thereafter. Total compensation, including base salary to be offered, will depend on elements unique to each candidate, including candidate experience, skills, education and other factors permitted by law. Disclaimer: The above statements are intended to describe the general nature and level of work being performed by people assigned to this classification. They are not to be construed as an exhaustive list of all responsibilities, duties, and skills required of personnel so classified. All personnel may be required to perform duties outside of their normal responsibilities from time to time, as needed. Confidential Data: All information (written, verbal, electronic, etc.) that an employee encounters is considered confidential. Compliance: Achieve and maintain Compliance with all applicable regulatory, legal and operational rules and procedures, by ensuring that all plans and activities for and on behalf of Sumitomo Pharma America (SMPA) and affiliates are carried out with the "best" industry practices and the highest ethical standards. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Mental/Physical Requirements: Fast paced environment handling multiple demands. Must be able to exercise appropriate judgment as necessary. Requires a high level of initiative and independence. Excellent written and oral communication skills required. Requires ability to use a personal computer for extended periods of time. Sumitomo Pharma America (SMPA) is an Equal Employment Opportunity (EEO) employer Qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin; age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender; affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status; atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

Absci is a clinical-stage biotechnology company advancing novel therapeutics using generative AI. Our Integrated Drug Creation™ platform combines cutting-edge AI models with a synthetic biology data engine, enabling the rapid design of innovative therapeutics that address challenging therapeutic targets. Absci is a global company headquartered in Vancouver, WA, and maintains offices in New York City, Switzerland, and Serbia. Learn more at ************* or follow us on LinkedIn (@absci), X (@Abscibio), and YouTube. About the role Absci is seeking AI Scientists to join its team of experts advancing generative and predictive modeling at the intersection of machine learning and drug discovery. As an AI Scientist, you will develop AI models that generate and evaluate antibody therapeutic candidates. We are looking for exceptional contributors with backgrounds in deep learning, protein design and engineering, natural language processing, computer vision, and molecular dynamics to develop innovative approaches to creating and assessing therapeutic antibodies in silico . Absci's computational teams (including its AI Scientists) develop and validate software platforms for antibody design and in silico assessment, while its Wet Lab teams experimentally validate its AI platforms, and its Drug Creation teams translate experimentally-validated AI designs into clinically-viable therapeutics. The ideal AI Scientist candidate will: Care as much about solving the technical problems related to designing antibody therapeutics as they do about translating solutions to the clinic; Use their expertise to influence the AI team's research agenda while maintaining high levels of responsibility and accountability for their work; Demonstrate their curiosity about the problems we are attempting to solve by developing proficiency in disciplines that fall outside their own areas of expertise, constantly increasing the scale and impact of their contributions; Invest in ensuring their work is accessible and interpretable to scientists with other domain expertise. Why Absci's AI team? Absci offers AI Scientists a unique opportunity to not only develop novel, cutting edge machine learning models, but also apply these models in real-time to generate candidate antibody therapeutics. In particular: Absci provides its AI Scientists with access to industry-leading compute resources, enabling large-scale experimentation for model training and deployment. Absci maintains its own Wet Lab, enabling AI Scientists to validate novel modeling methods via both in silico and in vitro experimentation. Absci maintains and is growing its own internal pipeline of assets, enabling AI Scientists to see their work directly translated into therapeutic impact for patients. This position can be remote, hybrid, or onsite in New York, NY or Vancouver, WA. Key Responsibilities Develop state-of-the-art deep learning models for structure-based antibody design, antibody sequence design, antibody-antigen co-folding, antibody-antigen binding prediction, and physics-based antibody design and evaluation Partner with teammates in AI Research, Platform Engineering, and Computational Biology to identify key challenges and design innovative, AI-driven solutions Analyze in silico and in vitro validation results to iteratively improve design and evaluation methodologies Deliver and publish high-impact research that advances Absci's position as a thought leader in the field of AI antibody design Qualifications PhD or equivalent experience in Machine Learning, Computer Science, Computational Biology, Computational Chemistry, Biophysics, or a related field 3+ years of research experience at the intersection of machine learning and protein design, molecular modeling, or a related field, ideally including industry experience Fluency in Python and PyTorch Comfortable with design, implementation, and evaluation of state-of-the-art AI algorithms for protein design and protein structure prediction Expertise in large-scale model training Demonstrated ability to work collaboratively in an ambitious, fast-paced, interdisciplinary environment Demonstrated experience presenting complex technical work to diverse audiences Strong publication record in respected, high-impact journals and conferences Absci's AI team does not accept and is not responsible for fees related to unsolicited agency resumes. Compensation and Benefits The base salary range for this position is $160,000- $260,000. The range provided is based on what we believe is a reasonable estimate for the base salary range for this job at the time of posting. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. Absci offers highly competitive salaries and benefits including medical, dental, and vision insurance, unlimited vacation, parental leave, employee assistance programs, voluntary life and disability insurance, annual bonus potential, the ability to participate in our employee stock purchase plan, a 401(k) with a generous company match, and so much more. Legal authorization to work in the United States is required. Absci is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, sexual orientation, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, marital status, or any characteristic protected under applicable law. Any applicant requiring an accommodation in connection with the hiring process and/or to perform the essential functions of the position for which the applicant has applied should request the recruiter or hiring manager or contact ****************.

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.

Invitae, part of Labcorp, is looking for a Variant Scientist III to join its team! The Variant Scientist will contribute to a high-performing team that supports variant interpretation and clinical reporting across our product portfolio. The position will be responsible for curating genetic content across different clinical areas to enhance our offerings. Additionally, the role supports development and implementation of processes and tools to improve and scale variant interpretation and clinical reporting. Please note: this position has the option to be 100% remote in the US, or physically located at our laboratory in San Francisco, CA. The schedule for this position will be Monday-Friday, 8am-5pm local time zone. Responsibilities: Up to 75% of your time performing variant interpretation (aka variant curation) using our validated in-house genetic evidence system to generate clear and concise clinical reports Critically analyze and interpret clinical and genetic information, including published literature, public and private databases, functional studies and modeling, as well as patient clinical records Develop, curate, and refine genetic content for a broad range of genetic disorders to support our operations and clinical offerings Achieve and maintain technical and clinical competency through initial and ongoing training in a fast-paced and dynamic environment Receive and provide case-related and performance-related feedback in a direct and supportive setting Participate in development and refinement of tools for analyzing genetic data Support implementation of process improvements to optimize and scale clinical reporting operations Engage with Manager/Senior Manager to support team and departmental objectives Develop and maintain standard operating procedures (SOPs) and address internal and client-facing queries regarding variant interpretation and clinical reporting Other duties as assigned Requirements: Ph.D. in Life Sciences (Genetics / Molecular Genetics /Human Genetics) with minimum 1 year of variant interpretation experience OR Master's degree in Genetic Counseling, biological sciences, molecular genetics, human genetics or a related field with a minimum of 3 years of relevant variant interpretation experience OR Bachelor's degree in Genetics, biological sciences, molecular genetics, human genetics or related field with minimum 5 years of relevant variant interpretation experience Preferred Requirements: Experience in a CLIA diagnostic laboratory, familiarity with next-generation sequencing, genetic variant curation, interpretation of clinical relevance, and knowledge of advanced methods of copy number detection and copy number variant interpretation Experience in one or more of the following areas: hereditary pediatric disorders, ophthalmology, and/or carrier testing Skills and Competencies: Excellent written, verbal, and interpersonal communication skills Ability to adapt to significant change that is inherent in development and innovation Desire to work in and contribute to a fast-paced, highly collaborative environment Demonstrated ability to understand, synthesize, and coherently evaluate complex genetic information. Strong critical thinking skills and ability to work independently. Application Window Closes: 1/27/26 **Salary Range: $119,000 - $172,000 / year All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Casual, PRN & Part Time employees regularly scheduled to work less than 20 hours are eligible to participate in the 401(k) Plan only. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please click here. Labcorp is proud to be an Equal Opportunity Employer: Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. We encourage all to apply If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our accessibility site or contact us at Labcorp Accessibility. For more information about how we collect and store your personal data, please see our Privacy Statement.

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,

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organization Overview At Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism. Role Overview The Clinical Development Scientist is a clinical trialist with clinical trial experience responsible for management of clinical supply (in collaboration with Supply Chain) and implementation of clinical supply/device trainings (in collaboration with other functional areas) for global clinical programs. They will be responsible for development of training materials and ensure timely planning and implementation of clinical supply/device trainings. The Clinical Development Scientist will also collaborate cross-functionally to support the clinical and scientific execution of all Lilly Gene Therapy clinical and preclinical programs, as needed. They will ensure timely planning, implementation, management, and reporting of clinical studies and trials. The successful candidate will collaborate cross-functionally to support all Lilly Gene Therapy Sensory clinical programs and provide clinical/scientific support to clinical trial sites and CROs. Responsibilities: Develop and manage updates of trial documents related to clinical supplies Develop training materials for clinical supply training sessions for clinical trial sites and CROs (if applicable) and manage the training material updates Collaborate both internally and externally to facilitate clinical trial site activities to ensure sites are ready for dose administration at site activation and throughout the trial Lead the efforts to conduct training sessions related to clinical materials and supplies Serve as the clinical development representative to work with Clinical Supply Management in supply management, demand forecasting, shipment operation/logistics, etc. Serve as the clinical/scientific representative for assigned clinical trials, as well as program teams, and facilitate the clinical/scientific execution of clinical and preclinical programs, as needed Support the clinical operations team, including clinical trial manager, in achieving trial deliverables, including adherence to budget and timelines, and developing trial documents, procedures, and plans Support authorship and review of clinical/regulatory documents ( e.g ., clinical protocols, Investigator Brochures, clinical study reports, briefing packages, etc.); collaborate cross-functionally in planning regulatory strategy and communications Other duties as assigned or as business needs require Basic Qualifications: Bachelor's degree in the Life Sciences required A minimum of two (2) years of pharmaceutical and/or clinical experience Qualified applicants must be authorized to work in the United States on a full-time basis. Lilly will not provide support for or sponsor work authorization and/or visas for this role Additional Skills / Preferences: Master's or higher level degree preferred (ie. PharmD, PhD, etc,..) Global clinical trials in the rare disease area Clinical/investigational pharmacy with gene therapy products or clinical supply management Prior pharma/biotech or academic experience in rare disease, otology, audiology, gene therapy, cellular therapy, and/or medical device preferred Proven track record of successfully conducting/supporting clinical trials and associated development activities Comprehensive understanding of the drug development and approval processes, and clinical trial design Strong interpersonal skills required Strong problem-solving skills, including the ability to identify and evaluate the critical factors of obstacles or opportunities; given background, experience, and judgment, able to understand potential causes and deliver potential solutions Ability to plan and think strategically and critically; intellectually curious, willing to take ownership of the assigned tasks and support clinical/pipeline programs, as needed Ability to critically evaluate and analyze scientific data and literature Strong communication skills (written and verbal) including the ability to express oneself clearly and concisely, and to message and document key progress and challenges appropriately; excellent presentation skills required Capable of representing Lilly Gene Therapy professionally with external global opinion leaders, investigators, vendors, regulatory agencies, and others Ability to work effectively cross-functionally, and to serve as clinical resource within the company Self-motivated and detail-oriented with ability to prioritize and handle multiple projects Additional Information: Travel may be up to 15%, including international travel Location: USA Remote Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $63,000 - $154,000 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

The Data Science team at Penguin Random House is seeking two Machine Learning Scientists to build and improve machine learning products that power how we understand demand, set strategy, and connect readers with books. We're hiring across both our recommendation and pricing teams. In this role, you'll use rich datasets to build sophisticated models that either recommend books to readers or help price books for the market. Our recommendation systems drive discovery across our digital channels and marketing, while our pricing products model market response to optimize revenue and mitigate risks to sales and brands. As the world's leading publishing house, Penguin Random House is AI-forward and continues to invest in modern machine learning to shape the future of book discovery, sales, and customer engagement. Our Data Science team applies ML across personalization, forecasting, pricing, and experimentation, and we actively explore emerging AI capabilities when they can meaningfully improve customer experiences. This role spans the ML lifecycle; from problem framing and prototyping to production and iteration, with a strong emphasis on writing robust, maintainable software and using modern AI tools thoughtfully to accelerate development. **Specific responsibilities include:** + Owns the ML lifecycle: Frames problems, prototypes solutions, validates performance, and iterates based on measurement and feedback. + Applies sound statistical and ML practices for feature development, training, evaluation, validation, and maintenance. + Defines success metrics and uses offline evaluation plus online experimentation (including A/B tests) to validate performance, monitor quality over time, and drive ongoing iteration. + Partners with engineering and platform counterparts to productionize models, including repeatable training, deployment workflows, monitoring, and refresh strategies. + Diagnoses model performance issues and data quality problems; communicates findings and recommended actions clearly to stakeholders. + Writes maintainable, production-minded code and contributes to team standards (code review, documentation, reproducibility, and testing where appropriate). + Stays current on applied ML and uses modern AI tools to accelerate exploration, questioning, and implementation without sacrificing quality. **Please apply if you meet the following qualifications:** + Master's with 2+ years of applied work experience OR PhD in Computer Science, Machine Learning, Engineering, Operations Research, Statistics or a related quantitative field + Strong proficiency in Python and common ML frameworks and libraries (for example PyTorch or TensorFlow). + Strong SQL skills and experience working with large datasets for feature development, analysis, and validation. + Experience taking models from development to production (batch scoring, APIs, or downstream integration). + Solid understanding of experimentation and measurement. + Be cutting edge. Use the latest AI tools to develop well-designed and robust software. + Strong communication skills and ability to translate between business goals and technical solutions. + Familiarity with cloud and modern data/ML tooling (AWS, Databricks, Docker, Kubernetes, Spark, or similar). + Exposure to MLOps concepts and tooling (model registries, pipelines, monitoring, reproducibility). **Preferred qualifications:** We welcome candidates with depth in **either** (or both) of these applied ML areas: **Forecasting** + Experience with time series forecasting, causal/market-response modeling, optimization, or risk-aware modeling. + Familiarity with automated model retraining, monitoring, and long-running model maintenance. **Personalization** + Experience with recommender systems, ranking/retrieval, personalization, segmentation, propensity modeling, or targeting. + Familiarity with experimentation, measurement, and online evaluation. **_Please be advised that candidates selected to advance to the 1st round of interviews will be required to show photo ID on camera, and final interviews for this role will be in person at a Penguin Random House location._** **The salary range for this position is $130,000 - $175,000. All positions are currently eligible for an annual profit award or bonus, subject to company results. ** **Applications for this role will be accepted through February 10, 2026 or until the role is filled. We encourage you to apply early, as we review applications on a rolling basis. Please include your resume and cover letter for consideration. Before applying for any role at Penguin Random House, we recommend you review our applicant resources page and our FAQs page.** Penguin Random House job postings include a good faith compensation range for each open position. The salary range listed is specific to each particular open position and takes into account various factors including the specifics of the individual role, and candidate's relevant experience and qualifications. Full-time employees are eligible for our comprehensive benefits program. Our range of benefits include, but are not limited to, Medical/Prescription drug insurance, Dental, Vision, Health Care/Dependent Care Flexible Spending Account, Health Savings Account, Pre-Tax and Roth 401(k), Short and Long-Term Disability Insurance, Life/AD&D Insurance, Commuter Benefits, Student Loan Repayment Program, Educational Assistance & generous paid time off. Penguin Random House is the leading adult and children's publishing house in North America, the United Kingdom and many other regions around the world. In publishing the best books in every genre and subject for all ages, we are committed to quality, excellence in execution, and innovation throughout the entire publishing process: editorial, design, marketing, publicity, sales, production, and distribution. Our vibrant and diverse international community of nearly 300 publishing brands and imprints include Ballantine Bantam Dell, Berkley, Clarkson Potter, Crown, DK, Doubleday, Dutton, Grosset & Dunlap, Little Golden Books, Knopf, Modern Library, Pantheon, Penguin Books, Penguin Press, Penguin Random House Audio, Penguin Young Readers, Portfolio, Puffin, Putnam, Random House, Random House Children's Books, Riverhead, Ten Speed Press, Viking, and Vintage, among others. More information can be found at *********************************** Penguin Random House values the array of talents and perspectives that a diverse workforce brings. All qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status. **Company:** Penguin Random House LLC **| Job ID:** 285679 + Apply Now + Start applying with LinkedIn + **Please wait...**

About Sandia: Sandia National Laboratories is the nation's premier science and engineering lab for national security and technology innovation, with teams of specialists focused on cutting-edge work in a broad array of areas. Some of the main reasons we love our jobs: + Challenging work with amazing impact that contributes to security, peace, and freedom worldwide + Extraordinary co-workers + Some of the best tools, equipment, and research facilities in the world + Career advancement and enrichment opportunities + Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home) + Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance* World-changing technologies. Life-changing careers. Learn more about Sandia at: ********************* *These benefits vary by job classification. What Your Job Will Be Like: We are seeking a staff scientist candidate with demonstrated publication record or relevant experience to join the Sandia Quantum Information Science (QIS) department and contribute to research areas that address meaningful problems and applications in the field of quantum computing. You will be part of a much broader QIS program at Sandia and within the DOE National Laboratories complex and will have an opportunity to engage with researchers and teams across the industry. In this role, you will lead research at the frontier of practical and theoretical quantum computer science, publish widely, advise junior researchers, deliver results to mission customers, and identify and solve compelling research problems. On any given day, you may: + D evelop and implement new ML and AI methods for assessing and improving the performance of quantum computers + Develop algorithms and applications for quantum computers informed by near-term and long-term needs + Interact and collaborate with a diverse set of experimentalists and other theorists at Sandia, academic institutions, other national labs, and private companies + Engage and/or lead in test and evaluation efforts with customers and sponsors + Take ownership of technical projects, publish outstanding new developments in peer-reviewed scientific journals, and present your work at conferences + Gain broad experience in and lead QIS programs across the US Government enterprise The selected applicant can work a combination of onsite and offsite work. The selected applicant must live within a reasonable distance for commuting to one of the assigned work locations when necessary. Salary Range: $135,700 - $270,900 *Salary range is estimated, and actual salary will be determined after consideration of the selected candidate's experience and qualifications, and application of any approved geographic salary differential. Qualifications We Require: + A Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development + Ability to obtain and maintain a DOE Q-level security clearance Qualifications We Desire: The ideal R&D S&E Computer Science candidate for Sandia National Laboratories will in addition possess the following: + Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement (e.g., independent project, thesis, or dissertation) + Demonstrated software development skills and familiarity with modern software development practices and tools (e.g., Agile) + Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills Also, for this posting we are seeking individuals with the following experience: + Ideally, a PhD in Computer Science, Physics, Electrical Engineering, Mathematics, Chemistry, AI, or a related science or engineering field + Demonstrated research experience in quantum computation and information science (including quantum algorithms, characterization of quantum hardware, design and modeling of qubits, quantum error correction, etc.) + Experience in scientific software development in Python, including collaborative code development, code verification, and modern software quality practices + Experience turning math into code + Experience with ML code development, using ML software such as TensorFlow, and the application of ML to scientific research problems + Record of research as demonstrated by publications in peer-reviewed journals, competitive conference proceedings, or high-impact program deliverables + Experience using quantum computing testbeds and/or collaboration with experimental efforts developing quantum technologies + Demonstrated experience developing or analyzing the performance of quantum architectures and quantum algorithms for fault-tolerant quantum computing + Interest in impacting applications and customers in support of DOE missions About Our Team: Sandia's Quantum Information Science department develops algorithms and tools that enable test and evaluation of experimental hardware, algorithms and software stack for near-term quantum computers, and sensing capabilities in support of mission applications. Department R&D focuses on noise characterization, benchmarking, simulation, error models, quantum control, quantum algorithms, and quantum sensing. The Department closely collaborates with researchers in related areas working on similar pursuits; closely collaborates with experimentalist groups at Sandia working on developing practical qubits in various technologies; has strong working relationships with the U.S. Department of Energy (DOE) offices and other U.S. government agencies interested in quantum information science (QIS); and collaborates, broadly, with academic and commercial colleagues in the external QIS research community. Through the department, you will also have the opportunity to join the The QPL and QuAAC groups, which are multidisciplinary research and development groups within Sandia. The QPL develops and deploys cutting-edge techniques for assessing and improving the performance of quantum computing hardware, serving the needs of the U.S. government, industry, and academia. It also works closely with a wide range of partners in industry and academia to develop new performance assessment tools and apply them to newly developed quantum computing platforms. The QuAAC works on all aspects of quantum algorithms, including the design and analysis of new algorithms, establishing conditions for quantum advantage, and resource estimates for problems in science and engineering. It also collaborates broadly with scientists in academia, industry, and other national labs. Both groups are geographically dispersed but maintain a strong culture of collaboration and are committed to advancing the field of quantum computing. The QPL and QuAAC teams publish their research in scientific journals including Nature, Nature Physics, Nature Communications, Physical Review X, PRX Quantum, and Physical Review Letters. Posting Duration: This posting will be open for application submissions for a minimum of seven (7) calendar days, including the 'posting date'. Sandia reserves the right to extend the posting date at any time. Security Clearance: Sandia is required by DOE to conduct a pre-employment drug test and background review that includes checks of personal references, credit, law enforcement records, and employment/education verifications. Applicants for employment need to be able to obtain and maintain a DOE Q-level security clearance, which requires U.S. citizenship. If you hold more than one citizenship (i.e., of the U.S. and another country), your ability to obtain a security clearance may be impacted. Applicants offered employment with Sandia are subject to a federal background investigation to meet the requirements for access to classified information or matter if the duties of the position require a DOE security clearance. Substance abuse or illegal drug use, falsification of information, criminal activity, serious misconduct or other indicators of untrustworthiness can cause a clearance to be denied or terminated by DOE, resulting in the inability to perform the duties assigned and subsequent termination of employment. EEO: All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status and any other protected class under state or federal law. NNSA Requirements for MedPEDs: If you have a Medical Portable Electronic Device (MedPED), such as a pacemaker, defibrillator, drug-releasing pump, hearing aids, or diagnostic equipment and other equipment for measuring, monitoring, and recording body functions such as heartbeat and brain waves, if employed by Sandia National Laboratories you may be required to comply with NNSA security requirements for MedPEDs. If you have a MedPED and you are selected for an on-site interview at Sandia National Laboratories, there may be additional steps necessary to ensure compliance with NNSA security requirements prior to the interview date. Job ID: 696391 Job Family: RD Regular/Temporary Position: R Full/Part-Time Status: F

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 [email protected] and include “Applicant Accommodation” within the subject line with your request and contact information. #LI-IM1

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.