Application Scientist remote jobs - 406 jobs

About Us At Matterworks we are building AI tools to extract insights from the ever-growing corpora of biological data and to unlock opportunities in therapeutic discovery, development, and manufacturing. We are building large-scale deep learning models of biological data to predict the phenotype and behavior of biological systems. Position Overview As a Principal Machine Learning Scientist, you will be a technical leader for our research and development efforts. You will be responsible for setting the long‑term technical vision and strategy for our deep learning architecture. This is a strategic, hands‑on role for a scientist who is passionate about architecting foundational neural networks and can lead ambitious, multi‑year research and engineering initiatives. You will be instrumental in guiding the company's scientific direction and mentoring our talented team of scientists. Key Responsibilities Architectural Vision and Strategy: Define and drive the long‑term vision for our core deep learning architecture. Make critical decisions on the foundational design of our neural networks to ensure they are scalable, robust, and optimized for interpreting mass spectrometry data. Foundational Model Development: Lead the conceptualization, design, and implementation of innovative deep learning models. Your work will involve creating novel network architectures and algorithms tailored to scientific discovery. Scientific Leadership: Provide intellectual leadership to the machine learning team and the broader company. Stay at the forefront of academic and industry advancements in deep learning, particularly as they apply to chemistry and biology, and guide the team in applying cutting‑edge techniques. Cross‑Functional Collaboration: Work closely with leadership in engineering, product, and scientific discovery to align machine learning initiatives with company‑wide goals. Mentorship and Guidance: Mentor and develop our team of machine learning scientists, fostering a culture of technical excellence, creativity, and rigorous scientific inquiry. Qualifications Ph.D. in a quantitative field such as Computer Science, Chemistry, Physics, or a related discipline, or equivalent research experience. 10+ years of experience in machine learning, with a significant focus on architecting novel deep learning systems. Demonstrated experience in leading the architectural design of complex deep learning systems. This should be evident through publications, patents, or a portfolio of shipped products. Expertise or strong familiarity with machine learning for spectral analysis, molecular structure prediction, or novel molecular representation learning is highly preferred. A strong publication record in top‑tier machine learning or scientific journals (e.g., NeurIPS, ICML, Nature, Science) is highly desirable. Proficiency with common scientific data formats (e.g., HDF5, mz ML, zarr). Working at Matterworks Given the cross‑disciplinary and innovative nature of our work, effective collaboration and communication are critical to our progress. We operate in a flexible hybrid model that accommodates both fully remote team members and those who work full‑time from our Somerville, MA office. While some positions may require regular in‑person presence for hands‑on work or local collaboration, many roles can be performed remotely with team members distributed across various locations. Compensation and Benefits Matterworks offers a competitive base salary, stock options, and benefits (health & dental, vision, long‑ and short‑term disability, life insurance, 401k with company match). Employees enjoy a flexible work & unlimited time away policy, commuter benefits and parking, regular team meals and outings, and company support for continued education/coursework and conference participation. Matterworks, Inc. is an equal opportunity employer. All candidates for employment at Matterworks are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other category protected by law. #J-18808-Ljbffr

Job Term: Full-time The Opportunity: Reporting to the Director of Americas Sales in our Environmental BU, this role will play a pivotal role in support of field sales of scientific instruments. This is a high-impact role that is critical to our goals. The Field Application Scientist will be responsible for functions that drive top-line growth, including, but not limited to, traveling to customer sites to engage in technical discovery, business development, and helping to protect new business. The Field Application Scientist will help keep account managers informed of new markets and product offerings, and also attend conferences and trade shows as needed. The Field Application Engineer will develop meaningful relationships with our customers to collaborate on new product breakthroughs. Responsibilities: Assist the Americas field organization to meet or exceed sales goals through hands-on technical expertise of Picarro's CRDS instruments. Prospect and perform technical discovery to help find new business in cooperation with account managers. Understand customers' applications and recommend solutions to meet their needs. Conduct product demonstrations and run samples. Identify and articulate unique Picarro product strengths. Perform product installations and follow-up to ensure customer satisfaction. Act as the customer voice inside Picarro to influence future product direction. Assess potential new applications and develop methods to be used with Picarro systems. Participate in conferences, trade shows, and other forums. Document work in CRM and work collaboratively with the team. Assist product managers at our headquarters with application development. Qualifications: B.S. in Earth or Geosciences, M.S. or Ph.D. preferred. Hands-on experience with laser optical instruments, isotope ratio mass spectrometry or other trace gas analyzers. Excellent presentation and communication skills. Preference will be given to Spanish-speaking candidates. Reporting to the Director of Sales, Americas. Up to 50% domestic and international travel. Remote position, Eastern US or Canada.

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

Tropicana Brands Group is a $3B startup aiming to revolutionize the beverage category. Formed in 2022 as a joint venture between PAI Partners and PepsiCo, our portfolio includes iconic brands like Tropicana, Naked, KeVita, Izze, Copella, and Punica. With over 76 years of global leadership in the orange juice category, we're committed to preserving this legacy while driving innovation in other areas. From reimagining orange juice to creating functional smoothies and driving afternoon refreshments, we are striving to become the undisputed global leader in fresh and chilled beverages. The Research & Development (R&D) team drives innovation, product development, and technological advancements across its juice and beverage portfolio. Focused on creating unique flavors, enhancing nutritional value, and improving formulations, the team ensures products meet evolving consumer preferences. They lead projects from concept to launch, ensuring efficient execution while aligning with business goals. Committed to sustainability, they develop innovative packaging solutions that are biodegradable, recyclable, and environmentally friendly. Additionally, they uphold rigorous nutritional science and regulatory standards, validating health claims and ensuring compliance. With a strong emphasis on food safety, quality, and process engineering, the team optimizes manufacturing systems to enhance efficiency, reduce costs, and maintain product excellence. Collaborating closely with scientists, nutritionists, and engineers, Tropicana's R&D team plays a crucial role in keeping products competitive, sustainable, and aligned with market demands. Your Next Pour: The Opportunity We are looking to add a Principal Scientist to our R&D team. This role will be responsible for leading consumer-driven innovation and productivity projects across our juice brands: Tropicana, Naked, and IZZE. The ideal candidate will bring a strong ownership mindset, thrive in ambiguity, and demonstrate exceptional cross‑functional collaboration and communication skills. Tropicana is looking for a critical thinker with exceptional communication, influencing and relationship management skills who thrives in a fast‑paced environment. Additional responsibilities include: Lead product development initiatives from concept to commercialization Manage multiple simultaneous projects with cross‑functional touchpoints Conduct formulation, stability testing, and sensory/consumer testing Collaborate with Marketing, Supply Chain, Sales, and other partners Translate business objectives into strategic and tactical R&D goals Work in lab, pilot plant, and manufacturing environments Manage project budgets and timelines effectively Foster innovation while navigating ambiguity and change The Perfect Blend: Experience 8+ years of experience in product development, preferably in the beverage industry Proven ability to manage complex, multi‑phase projects Strong knowledge of product development protocols and testing methodologies Experience with lab and analytical equipment (e.g., pH meter, Brix meter) Demonstrated cross‑functional collaboration and communication skills Ability to manage risk and adapt in a dynamic environment Highly organized with strong attention to detail Bachelor's degree preferably in Food Science & Technology or related scientific field; advanced degree preferred> Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future Must be located in Chicago, IL surrounding area or willing to relocate for the duration of employment Willingness to adapt and thrive in a blended work environment with 3-days in office, seamlessly transitioning between remote work and in‑office operations Must be open to 15‑25% domestic travel Perks That Pack a Punch TBG is pleased to offer you a comprehensive benefits package which includes a 401(k) plan, medical, dental, vision, company provided life, STD and LTD insurance. In addition, you may also elect to participate in voluntary life, accident, hospital, and critical illness coverages. The salary range for this position is $88,000 - $120,000 Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor. #J-18808-Ljbffr

Work Schedule Standard (Mon-Fri) Environmental Conditions Cold Room/Freezers -22degreesF/-6degrees C, Laboratory Setting, Loud Noises (Equipment/Machinery), Some degree of PPE (Personal Protective Equipment) required (safety glasses, gowning, gloves, lab coat, ear plugs etc.), Strong Odors (chemical, lubricants, biological products etc.), Will work with hazardous/toxic materials Job Description When you are a part of the team at Thermo Fisher Scientific, you'll do meaningful work, that makes a positive impact on a global scale! Join more than 120,000 colleagues who bring our Mission to life every single day to enable our customers to make the world healthier, cleaner and safer. You'll find the resources here to achieve your career goals and help take science a step beyond by developing solutions for some of the world's toughest challenges. This includes protecting the environment, making sure our food is safe, and helping find cures for diseases. At Thermo Fisher Scientific, diversity & inclusion is vital to the future success of our organization. It is not just something we do, it is who we are. It enables our colleagues to openly share the wide range of perspectives they represent, creating an environment where differences are truly valued, authenticity is a state-of-being, and everyone feels they belong and can do their best work. Location/Division Specific Information You will be a part of the Applications Development team within the Life Sciences Business Unit (LSBU) of Thermo Fisher Scientific's Material and Structure Analysis Division (MSD). The LSBU provides high-value Electron Microscopy workflow solutions for high resolution biological imaging, ranging from atomic resolution imaging of protein complexes to volume acquisition of cellular compartment structures. The position is embedded in the Center of Excellence for Structural Cell Biology at St. Jude Children's Research Hospital in Memphis, Tennessee. The Scientist will operate from this location. You can find more information about our Cryo-Electron Microscopy instruments here. How will you make an impact? You will be responsible for development of pioneering methods and protocols for cryo FIB milling with plasma FIB (pFIB) within the electron Cryo-Electron Tomography (Cryo-ET) and Volume EM workflows, using our groundbreaking Arctis and Hydra Bio cryo-plasma-FIBs. You will coordinate applications development for our cryo-FIB projects with our collaborators in a world-class cryo-imaging lab. Your role will involve cryo FIB milling to prepare cellular lamella and optimizing methods for sample preparation, with the ultimate goal of performing cryo-Electron Tomography on our Krios cryo-Transmission Electron Microscope (TEM) instruments. Additionally, you will develop methods and workflows for volume imaging of high pressure frozen cellular and tissue samples using cryo Auto Slice & View and related technologies on the pFIB dual beam systems. You will build a network within the scientific community through collaborations with new and leading customers and help shape the future of cryo EM. Deliverables and responsibilities: Develop and evaluate FIB milling and volume imaging strategies with plasma FIB on cells and tissues. Work with collaborators for training users (on site and remotely) and develop and implement proof of concept experiments with challenging samples. Your contributions will support directly the customer's scientific endeavor as well as feed directly into new product development at Thermo Fisher. And furthermore: Support R&D, product development, marketing, and sales by lending applications expertise. Communicate new applications results at scientific workshops, conferences and contribute to scientific publications. Serve as an expert for cryo EM sample preparation with plasma FIB instruments Provide feedback to engineering and software development teams on system performance, new design features, new hardware qualification and advanced use-case problems for milling and cryo ET data collection. Provide marketing and sales materials to the Product Marketing team for integration into training programs. Make significant contribution to defining the framework and future direction of cryo TEM products. How to get here: This position is ideal for an expert in focused ion beam (FIB) electron microscopy, ideally with a familiarity in both cryo-FIB milling and TEM sample preparation. Strong technical understanding of FIB theory and technology as well as experience with Plasma FIB instrumentation is a crucial requirement. A background or experience with biological questions and samples is desirable but not a requirement for the role. Education, experience, skills, abilities: An advanced degree (e.g .PhD, MSc) in the fields of Physics, Biophysics and related or equivalent fields. Demonstrated in-depth experience in TEM sample preparation with plasma FIB milling as well as a deep understanding of FIB technology. Knowledge of soft matter samples, with cryogenic conditions and biological specimen is a plus. Having prior experience with TEM instruments is advantageous. Experience in interacting with new users as well as highly technical customers and the ability to communicate complex technical concepts to a variety of audiences. Demonstrated ability to systematically develop new and improve methods, protocols, troubleshooting techniques and operational optimization. Excellent verbal and written communication skills with a diverse audience. Ability to independently identify, define and implement solutions and to own and lead projects. Ability to impart application specific knowledge to new users and internal partners. Thrives in a dynamic team and enjoys being exposed to a constant variety of complex issues that need to be resolved. Willing and able to travel domestically and occasionally internationally up to 25%. Benefits: We offer competitive remuneration, annual incentive plan bonus scheme, healthcare, company pension, and a range of employee benefits. Thermo Fisher Scientific offers employment with an innovative, forward-thinking organization, and outstanding career and development prospects. We offer an exciting company culture that stands for integrity, intensity, involvement, and innovation. Apply today: ****************************

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

We are currently seeking a highly motivated, results-oriented life scientist to join the Cell Analysis US Field Applications Scientist team in the Bay Area. The ideal individual will be outgoing and confident with excellent communication/presentation skills. The successful candidate will work well independently but will appreciate being part of a dynamic, growing sales team supporting research in the life sciences, including supporting customer use of instrumentation focused on live cell analysis, microscopy, flow cytometry, metabolic profiling and multimode detection. Primary Responsibilities: Provide field-based & remote scientific engagement with customers in both pre/post-sales capacities; from focused 1:1 consultation, to product demonstrations and applications-focused training & assay optimization. Develop expertise with instrument hardware/software while keeping abreast of current assays/workflows as well as emerging applications. Convey customers' voice and feedback to product management to promote innovation and address evolving market requirements. Qualifications M.S. or PhD in Neuroscience, Immunology, Microbiology, or related field with applicable live-cellular training (PhD is strongly preferred). 2+ years' of strong academic or industrial experience using microscopy or flow cytometry and live cell handling preferred. 1+ years' of industrial experience, preferably as a Field Application Scientist preferred. Experience using Agilent BioTek, Seahorse, and ACEA products a plus. Additional Details This job has a full time weekly schedule. It includes the option to work remotely. Applications for this job will be accepted until at least January 20, 2026 or until the job is no longer posted. It is sales incentive eligible. In the US, this position is eligible for choice of company car or reimbursement for personal vehicle usage.The full-time equivalent pay range for this position is $112,430.00 - $210,150.00/yr plus eligibility for bonus, stock and benefits. Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: ************************************* Agilent Technologies, Inc. is an Equal Employment Opportunity and merit-based employer that values individuals of all backgrounds at all levels. All individuals, regardless of personal characteristics, are encouraged to apply. All qualified applicants will receive consideration for employment without regard to sex, pregnancy, race, religion or religious creed, color, gender, gender identity, gender expression, national origin, ancestry, physical or mental disability, medical condition, genetic information, marital status, registered domestic partner status, age, sexual orientation, military or veteran status, protected veteran status, or any other basis protected by federal, state, local law, ordinance, or regulation and will not be discriminated against on these bases. Agilent Technologies, Inc., is committed to creating and maintaining an inclusive in the workplace where everyone is welcome, and strives to support candidates with disabilities. If you have a disability and need assistance with any part of the application or interview process or have questions about workplace accessibility, please email job_******************* or contact ***************. For more information about equal employment opportunity protections, please visit *************************************** Required: 50% of the TimeShift: DayDuration: No End DateJob Function: Sales

Labcorp Genetics (formerly Invitae) is dedicated to bringing comprehensive genetic information into mainstream medicine to improve healthcare for billions of people. Our team is driven to make a difference for the patients we serve. We are leading the transformation of the genetics industry, by making clinical-grade genetic information affordable and accessible to guide health decisions across all stages of life. The genomics insights team leverages clinical genomic expertise, our massive genetics, laboratory and linked public/private datasets, and the latest AI/ML technologies to improve diagnosis, clinical care, and treatment options. We design and develop robust, quantitative, and scalable systems for variant interpretation and disease insights. Our research findings are broadly disseminated to improve testing guidelines, optimize reimbursement rates, and educate the healthcare ecosystem. We are seeking a Lead R&D Data Scientist to join our team and contribute to these initiatives. Duties and Responsibilities: Lead and deliver the translation of complex biological and clinical questions into actionable analysis plans. Architect and implement robust data pipelines that integrate large-scale genomic, phenotypic, laboratory, and real-world clinical datasets. Conduct repeatable data analysis and modeling with a high degree of scientific and statistical rigor, for complex tasks such as understanding patient trajectories, elucidating variant effect, and identifying genotype-phenotype associations. Write clean, maintainable, and well-documented code following best practices for version control, testing, and scalability. Prepare technical reports, peer-reviewed publications, and conference presentations to share research outcomes with internal stakeholders and the broader scientific community. Collaborate closely with both internal and external stakeholders to drive impactful research and development initiatives. Ensure high standards of data privacy, security, and compliance are maintained in all projects. Qualifications: Masters degree, or equivalent industry experience in Computer Science, Statistics, Data Science, Computational Biology, or a related field. 5+ years of hands-on experience in data science and statistical methods, as applied to large biomedical datasets. Experience working within a collaborative technical team with strong software engineering practices. Proficiency in modern programming languages (Python and SQL), shell scripting, and version control (Git). Experience with data management, ETL, and business intelligence tools. Excellent communication skills for presenting research findings to diverse audiences. Preferred Qualifications: Ph.D Experience with big data technologies (Snowflake, Databricks, etc.) and visualization/dashboarding (Looker, Dash, etc.). Experience with high performance computing (SGE etc.). Experience in the development and validation of complex computational models for biological data, in particular machine learning and bioinformatics techniques. Understanding of data privacy, security, and ethical considerations in clinical and biological research. Previous published work in genetics, functional genomics, or clinical research. This position is not eligible for visa sponsorship. Application window closes: 02/14/2026 Pay Range: $100,000.00 - $155,000.00 a year Schedule/Shift: M-F, 8-5 EST 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. The position is also eligible for an annual bonus under the Labcorp Bonus Plan. Bonuses are payable based on corporate and/or business segment performance and are subject to individual performance modifiers. Compensation may also include discretionary short- and long-term incentive packages. 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.

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

Sony Biotechnology Inc., based in San Jose, California, supplies advanced flow cytometry analysis and sorting technology for use in life science research. It markets products to private and public research institutions, pharmaceutical and biotechnology companies, and large medical centers. Over the years, Sony Biotechnology products have received numerous outstanding new product awards as well as technology awards including the Frost & Sullivan Emerging Technology award, and the Milestone Award. To learn more: ************************************** POSITION SUMMARY Sony Biotechnology is looking for a Field Application Scientist (FAS) to join their team. The FAS is responsible for providing high-level pre-sale and post-sale support to external and internal customers on all Sony Biotechnology instruments. Location: Boston, MA JOB RESPONSIBILITIES Provide pre- and post-sales support for company products (in person and remote). Coordinate and perform product demonstrations, training, and technical support. Conduct seminars, workshops and represent the company at meetings. Meet customer requirements (responsive, schedule conscious, etc). Provide reports, marketing intelligence and information to supervisor and other company personnel as required. Utilize Salesforce.com with regularity by updating contact info, adding notes, customer information, etc. Maintain relevant internal communications to optimize business growth and customer satisfaction. Monitor and report on market and competitor activities and provide relevant reports and information. Attend training and develop relevant knowledge, techniques and skills. Up to 50% travel may be required. Honesty, trustworthiness and ethical conduct are material requirements for the responsibilities outlined above QUALIFICATIONS FOR POSITION Your qualifications and experience should include: B.Sc. degree or higher in Biology, Immunology or related life science discipline is required. Minimum of 5 years' experience with multi-laser and multicolor flow cytometry and cell sorting applications is required. Experience in spectral flow cytometry is desired. Prior core lab or FAS experience is preferred. Prior experience with Sony cell sorters and spectral analyzers is preferred. Experienced MS Office user. Manage time, activities and expenses to optimize productivity and minimize the cost of doing business. Prior experience with Salesforce.com is a plus. A strong desire to learn new technologies, and to work with a close-knit, supportive team. All candidates must be authorized to work in the USA and be available for occasional international travel. In addition to competitive pay and benefits, we offer an environment and culture that promotes Diversity, Equity, and Inclusion. We are committed to creating an inclusive employee experience for you to thrive as part of Sony's purpose to “fill the world with emotion through the power of creativity and technology.” Benefits: SCA offers benefits-eligible employees (generally regular employees scheduled to work 20 or more hours a week) a comprehensive benefits program that offers coverage and support for employees and their family's physical, emotional, and financial well-being. What we offer you: Comprehensive medical, prescription drug, dental, and vision coverage with coverage for spouses/domestic partners and child dependents, including access to a Health Savings Account (HSA) and Flexible Spending Account (FSA) Employee assistance plan and comprehensive behavioral health benefits Fertility benefits, including, surrogacy, and adoption assistance programs Basic and supplemental life insurance for employees as well as supplemental life insurance coverage for their spouses/domestic partners and children Voluntary benefits such as group legal, identity theft protection, accident, and hospital indemnity insurance Short-term & long-term disability plans Up to 12 weeks of paid parental and caregiver leave 401(k) Plan with pre-tax, Roth, and after-tax options and company match with v immediate vesting Education assistance and student loan programs Other Programs: Time off to include vacation, paid holidays, sick leave, Summer Fridays (early release), and a winter break between Christmas and New Year's Day (based on business needs) Referral bonuses (subject to eligibility) Matching gift program A wide variety of employee business resource groups (EBRGs) Special discounts on Sony products, offered exclusively to Sony employees Employee stock purchase plan (Sony covers commissions and fees for your Sony stock purchases made through after-tax payroll deductions) The anticipated annual base salary for this position is $110,000 to $125,000. In addition to the annual base salary, this role has an annual bonus target of 10%. This range does not include any other compensation components or other benefits that an individual may be eligible for. The actual base salary offered depends on a variety of factors, which may include as applicable, the qualifications of the individual applicant for the position, years of relevant experience, specific and unique skills, level of education attained, certifications or other professional licenses held, and the location in which the applicant lives and/or from which they will be performing the job. #LI-KD1 All qualified applicants will receive consideration for employment without regard to any basis protected by applicable federal, state, or local law, ordinance, or regulation. Disability Accommodation for Applicants to Sony Corporation of America Sony Corporation of America provides reasonable accommodation for qualified individuals with disabilities and disabled veterans in job application procedures. For reasonable accommodation requests, please contact us by email at ******************* or by mail to: Sony Corporation of America, Human Resources Department, 25 Madison Avenue, New York, NY 10010. Please indicate the position you are applying for. We are aware that unauthorized individuals or organizations may attempt to solicit personal information or payments from job applicants by impersonating our company through fraudulent job postings. We take these matters seriously but cannot control third-party websites. To protect your personal information, please verify that any job posting you respond to also appears on our official Careers page: ***************** Please also be advised that we never request personal identifying information (such as Social Security numbers, bank details, or copies of identification documents) during the initial stages of our application process. If you have any doubts about the authenticity of a job posting or communication, please contact ******************* before submitting any information. Right to Work (English/Spanish) E-Verify Participation (English/Spanish)

AI Trainer - Research Scientists About Prolific Prolific is not just another player in the AI space - we are building the biggest pool of quality human data in the world. Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The role We're looking for people with Research Scientist experience to work as self-employed AI Trainers to help train and evaluate cutting-edge AI models from some of the world's biggest AI labs. If you have the necessary experience, we'll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you'll be invited to join Prolific as a Domain Expert participant, where you'll get paid to train and evaluate powerful AI models. Researchers looking for your skills tend to pay up to $50/hr subject to the length of tasks available. If successful, you must be prepared to complete paid tasks that require one hour of uninterrupted work, though many are shorter. What you'll be doing in the role Completing AI training tasks such as analyzing, editing, and writing research-focused content Judging the performance of AI on research design, methodology, and scientific reasoning prompts Improving cutting-edge AI models using your experience in research and experimentation What you'll bring Experience working as a Research Scientist or in a closely related research role A strong understanding of scientific methodology, experimental design, and data analysis A willingness to take our skills verification test to assess your suitability for our Domain Expert participant pool Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time A reliable and fast internet connection and access to a computer A Paypal account to receive payment from our clients* Why Prolific is a great platform to join as a Domain Expert participant Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home. We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems. We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation - one that reflects the breadth and the best of humanity. *Participants are self-employed and need to declare earnings to their respective tax authorities. Prolific has no liability for any tax obligations or reporting requirements resulting from compensation received through this platform. Each participant is solely responsible for compliance with applicable tax laws in their jurisdiction. Links to more information on Prolific Website Youtube Privacy Statement By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

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...**

Faire is an online wholesale marketplace built on the belief that the future is local - independent retailers around the globe are doing more revenue than Walmart and Amazon combined, but individually, they are small compared to these massive entities. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so that small businesses everywhere can compete with these big box and e-commerce giants. By supporting the growth of independent businesses, Faire is driving positive economic impact in local communities, globally. We're looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours. About this role As a Staff Applied AI/ML Scientist on the Search Group, you'll drive the technical vision, ML algorithm strategy, and system design powering one of the most critical levers for customer value and company growth-Search (think about what you do when you land on any e-commerce site). You'll lead the advancement of real-time Search and Recommendation systems behind our next-generation shopping experiences. You'll operate at the forefront of algorithms-combining large language models, natural language processing, query understanding, deep learning, transformer-based sequential modeling, graph neural networks, and structured behavioral data to return hyper-relevant, personalized products/brands for any given query from the users. This is a rare opportunity to own end-to-end personalization in a high-scale, deeply multi-modal environment-while mentoring a team of talented scientists and engineers. What you'll do Own the next-generation Search engine, integrating LLMs, query understanding, dense vector retrieval, deep personalization embeddings, multi-stage ranking, and reinforcement learning to serve personalized product feeds with Design and productionize natural language search and discovery systems, enabling intelligent agents to generate relevant and personalized collections, explain search results, and assist retailers in browsing, filtering, and evaluation. Lead model development and GPU-based deployment efforts, leveraging frameworks like Triton to scale inference reliably and efficiently. Qualifications 7+ years of experience building large-scale ML systems, including 3+ years in search, recommendation, or ads ranking. Hands-on experience with deep learning libraries (e.g. PyTorch) and vector search infrastructure (e.g. Faiss, ScaNN, Pinecone). A strong track record of productionizing models that blend LLMs (e.g. BERT, GPT-class) with structured features to drive personalization. A product-focused mindset and a bias toward execution-you move quickly from paper to prototype to production. Strong Python skills, deep respect for system reliability and ownership, and experience operating in high-stakes environments. Excellent communication and cross-functional influence-you raise the technical bar beyond your immediate team. Great to Have Contributions to open-source ML libraries or peer-reviewed publications in ML/AI. MS or PhD in Computer Science, Statistics, or a related STEM field. Salary Range California: the pay range for this role is $224,000 to $308,000 per year. This role will also be eligible for equity and benefits. Actual base pay will be determined based on permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future. Hybrid Faire employees currently go into the office 2 days per week on Tuesdays and Thursdays. Effective starting in January 2026, employees will be expected to go into the office on a third flex day of their choosing (Monday, Wednesday, or Friday). Additionally, hybrid in-office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you'll love working at Faire We are entrepreneurs: Faire is being built for entrepreneurs, by entrepreneurs. We believe entrepreneurship is a calling and our mission is to empower entrepreneurs to chase their dreams. Every member of our team is taking part in the founding process. We are using technology and data to level the playing field: We are leveraging the power of product innovation and machine learning to connect brands and boutiques from all over the world, building a growing community of more than 350,000 small business owners. We build products our customers love: Everything we do is ultimately in the service of helping our customers grow their business because our goal is to grow the pie - not steal a piece from it. Running a small business is hard work, but using Faire makes it easy. We are curious and resourceful: Inquisitive by default, we explore every possibility, test every assumption, and develop creative solutions to the challenges at hand. We lead with curiosity and data in our decision making, and reason from a first principles mentality. Faire was founded in 2017 by a team of early product and engineering leads from Square. We're backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog. Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression. Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form (************************** Privacy For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire's Privacy Notice (******************************

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.

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

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.

We are seeking a computational biologist with a strong track record of advancing biological discoveries through data analyses to join the Vertex Data and Computational Sciences (DCS) organization. In this role, you will leverage cutting‑edge computational biology to accelerate the development of transformative therapies for serious human diseases. As a member of cross-functional disease project teams, you will contribute to the development of novel therapies in areas including lung diseases and pain. You will design genomics and human genetic studies, develop and apply analytical methods, and interpret results that directly inform program strategy, target evaluation, and mechanistic understanding. You will also play a key role in innovating, evaluating, and applying state-of-the-art computational analyses to enable rapid, data-driven decisions. An independent and proactive approach, along with seamless cross-functional collaboration will be essential for success in this role. This is a San Diego based, hybrid position requiring 3 days/week onsite. Key responsibilities: * Proactively collaborate with cross‑functional project teams as the computational biology expert to identify key scientific questions that can be addressed through human genetics, genomics, sequencing, and computational analyses. * Design and execute studies across diverse omics, including bulk RNA‑seq, whole‑genome sequencing, single‑cell RNA‑seq, spatial transcriptomics, and human genetics. * Perform sophisticated computational analyses of internal and external datasets, integrating deep critical thinking, statistical rigor, domain expertise, and best practices from the literature to generate actionable insights. * Incorporate publicly available genomic resources (e.g., GTEx, gnom AD, FinnGen, UK Biobank) to contextualize and interpret internal data. * Distill complex analyses and scientific results into clear presentations, including key take-home messages and recommendations for next steps to a broad audience. * Author study reports, white papers, and manuscripts to support internal decision-making and external communications including regulatory filings. * Partner with the DCS method development team to develop innovative methods and improve usability, accuracy, and robustness of existing ones. Knowledge and Skills: * A proven track record in the analysis, visualization, and interpretation of genomic and next-generation sequencing (NGS) data * Solid scientific understanding of gene editing, the role of genetic variation in human disease, molecular biology, and cellular biology * Expertise with applying computational methods and bioinformatics tools to large-scale data * Solid understanding of statistics Education and Experience: * PhD degree (or Master's degree) in computational biology, bioinformatics, human genetics, genomics, systems biology, bioengineering, or a related field with 0-3 years (or 3+ years for Master's degree) of productive, relevant industry or post-doc experience. * A proven track record of stand-out excellence in the analysis, visualization, and interpretation of genomic data (such as next-generation sequencing (NGS)) or human genetic data. * Demonstrated ability to work across cross-functional teams, ensuring timely progress. * Superior communication skills, demonstrating confidence and versatility in presenting verbally to diverse audiences and writing technical documents. * Deep scientific understanding of genetic variation in human disease, molecular biology, and cellular biology. * Expertise with rapidly applying computational methods and bioinformatics tools to large-scale data. * Proficiency with R and/or python, and high-performance computing systems; solid understanding of statistics. * A team-oriented growth mindset that welcomes feedback from others and supports other team members; a positive attitude that enthusiastically tackles and overcomes challenges. #LI-KM1 #LI-Hybrid Pay Range: $112,000 - $168,000 Disclosure Statement: The range provided is based on what we believe is a reasonable estimate for the base salary pay range for this job at the time of posting. This role is eligible for an annual bonus and annual equity awards. Some roles may also be eligible for overtime pay, in accordance with federal and state requirements. Actual base salary pay will be based on a number of factors, including skills, competencies, experience, and other job-related factors permitted by law. At Vertex, our Total Rewards offerings also include inclusive market-leading benefits to meet our employees wherever they are in their career, financial, family and wellbeing journey while providing flexibility and resources to support their growth and aspirations. From medical, dental and vision benefits to generous paid time off (including a week-long company shutdown in the Summer and the Winter), educational assistance programs including student loan repayment, a generous commuting subsidy, matching charitable donations, 401(k) and so much more. Flex Designation: Hybrid-Eligible Or On-Site Eligible Flex Eligibility Status: In this Hybrid-Eligible role, you can choose to be designated as: 1. Hybrid: work remotely up to two days per week; or select 2. On-Site: work five days per week on-site with ad hoc flexibility. Note: The Flex status for this position is subject to Vertex's Policy on Flex @ Vertex Program and may be changed at any time. #LI-Hybrid Company Information Vertex is a global biotechnology company that invests in scientific innovation. Vertex is committed to equal employment opportunity and non-discrimination for all employees and qualified applicants without regard to a person's race, color, sex, gender identity or expression, age, religion, national origin, ancestry, ethnicity, disability, veteran status, genetic information, sexual orientation, marital status, or any characteristic protected under applicable law. Vertex is an E-Verify Employer in the United States. Vertex will make reasonable accommodations for qualified individuals with known disabilities, in accordance with 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 make a request to the recruiter or hiring manager, or contact Talent Acquisition at ApplicationAssistance@vrtx.com

Hiring Department: Office of the Vice Chancellor for Research is $31.03. About the University of Illinois Chicago UIC is among the nation's preeminent urban public research universities, a Carnegie RU/VH research institution, and the largest university in Chicago. UIC serves over 34,000 students, comprising one of the most diverse student bodies in the nation and is designated as a Minority Serving Institution (MSI), an Asian American and Native American Pacific Islander Serving Institution (AANAPSI) and a Hispanic Serving Institution (HSI). Through its 16 colleges, UIC produces nationally and internationally recognized multidisciplinary academic programs in concert with civic, corporate and community partners worldwide, including a full complement of health sciences colleges. By emphasizing cutting-edge and transformational research along with a commitment to the success of all students, UIC embodies the dynamic, vibrant and engaged urban university. Recent "Best Colleges" rankings published by U.S. News & World Report, found UIC climbed up in its rankings among top public schools in the nation and among all national universities. UIC has over 300,000 alumni, and is one of the largest employers in the city of Chicago. This position is not eligible for benefits. Position Summary The Office of Research Development seeks a Graduate Hourly - Research Development in the Office of the Vice Chancellor for Research (OVCR). This is a fully remote, year-round, part-time position. This role will assist in identifying and cataloging research-related funding opportunity announcements, news stories, and event announcements relevant to the UIC research enterprise. Duties & Responsibilities * Conduct funding opportunity searches and curate funding opportunity lists in Pivot. * Collect funding opportunity announcements, news stories and event announcements from diverse sources including UIC campus/unit and funder websites and email newsletters (listservs). * On a weekly basis, compile and organize newly released limited submission funding opportunities in a shared document. * On a weekly basis, compile and organize non-limited funding opportunity announcements, news stories and event announcements in a shared document. * Assist with other projects as assigned. Minimum Qualifications * Must currently be enrolled in a graduate program at UIC. * Preference will be given to candidates who demonstrate excellent written and interpersonal communications skills; are able to organize, prioritize and coordinate multiple tasks to meet strict weekly deadlines and are able to work independently. Preferred Qualifications * Preference will be given to candidates with experience in reading and analyzing funding opportunity solicitations from a variety of sponsors, including federal agencies and foundations The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify. The university provides accommodations to applicants and employees. Request an Accommodation Artificial Intelligence (AI) tools may be used in some portions of the candidate review process for this position, however, all employment decisions will be made by a person.

See yourself at Dataminr As an AI Research Scientist you'll be working on some of the most challenging AI problems in real-time event detection and directly contributing to products while advancing the state of the art. This role can be remote or based out of our New York City, Dublin, or London offices. AI Innovation at Dataminr Working at Dataminr you'll have the opportunity to tackle the most exciting trends in AI on a daily basis to power a revolutionary product that uncovers critical events around the world as they unfold. Regenerative AI: our AI technology, ReGenAI, is a new form of generative AI that automatically regenerates real-time Live Event Briefs as events unfold. Learn more here. Agentic AI: we recently launched our Agentic AI capability, what we're calling our Intel Agents, that autonomously generates critical context for our clients on real-time events, threats, and risks allowing them to see the clearest, most accurate view of what's happening on the ground. Learn more here Multimodal AI: our platform detects events from many different types of data (images, video, sensor data, audio, and text in over 150 languages). Learn more here. The opportunity Perform research to advance the state of the art and solve specific problems at scale in one or more of the following areas: Natural Language Processing, Machine and Deep Learning. Work closely with a diverse, interdisciplinary team to deliver value to customers (existing and new products). Contribute to the research community via publications in top tier venues, participation in program committees, etc. Excel in placing a human-centered focus on the work (context, end-user impact, etc), finding solutions that work in practice and have significant impact. Productionize and ship research into Dataminr's products, and thus to its users worldwide. Senior candidates are expected to lead technical areas and/or people. What you bring At Dataminr, we value you for who you are. We encourage you to apply for this role, even if you don't meet every qualification. Our candidates are reviewed on the basis of their skill and potential to succeed. Ph.D. in Computer Science or related field Experience in one or more of the following topics: AI for cyber security, LLMs, agentic AI, generation, machine translation, summarization, topic detection & tracking, text classification, knowledge extraction/representation/management, trending topic detection, search, machine learning and deep learning, etc. Outstanding publication record (IEEE, AAAI, NeurIPS, ACL, TACL, EMNLP, WWW, etc.). Demonstrated ability to work independently, set up experiments and demonstrate progress through principled use of metrics. Proficiency in Python and experience with relevant AI/ML libraries and frameworks such as PyTorch and Hugging Face Transformers. Experience with LLM serving technologies such as vLLM is a plus. Professional experience in industry (requirement varies depending on level; recent graduates must have had relevant internships). #LI-Remote #LI-BM About Dataminr At Dataminr, we are a mission driven team of talented builders, creators and visionaries who have real-world impact on how organizations are able to respond to events. Dataminr's groundbreaking, AI-powered, intelligence platform provides organizations with the earliest signals of emerging risks, events, and threats before they unfold. Trusted by two-thirds of the Fortune 50 and half of the Fortune 100, Dataminr's platform analyzes billions of public data inputs spanning text, image, video, audio and sensor data across 150+ languages, empowering our clients to stay one step ahead in an increasingly complex world where every second counts. Founded in 2009, we have pioneered the world's first real-time event detection platform, long before the recent Gen AI ‘boom.' Dataminr operates all around the world united by our passion to use AI for the greater good, be agents of positive change and put our technology into the hands of clients charged with the responsibility to keep organizations running and keep people safe. As our employees focus on developing our revolutionary technology, we focus on our employees. Dataminr is proud to offer a variety of flexible work arrangements, offices all over the world to foster collaboration, generous PTO and sick leave, and more, as part of our competitive benefits package aimed at keeping all our employees happy and healthy. Explore all our benefits here. We believe our differences give us strength. Our employees are empowered to be their best, authentic selves through various opportunities, such as our robust employee resource group (ERG) network, manager development programming, professional development funds, and more. We serve a global community made up of many cultures and strive to reflect the world and clients we serve, with a workforce built on merit and equity. We actively condemn racism and discrimination in any form. We stand for social good, fostering a culture of allyship, and standing up for those who face systemic barriers to equality. We lead with empathy and strive to be agents of positive change in our company and in our communities. The annual base salary range for this position is $148,240 - $218,000. You will also be eligible to receive a discretionary bonus and Company equity. Actual salary will be based on a number of factors including, but not limited to, geographic location, applicant skills, and prior relevant experience. Dataminr is an equal opportunity and affirmative action employer. Individuals seeking employment at Dataminr are considered without regards to race, sex, color, creed, religion, national origin, age, disability, genetics, marital status, pregnancy, unemployment status, sexual orientation, citizenship status or veteran status. Dataminr will collect and process your personal data. All personal data will be processed in accordance with applicable data protection laws. Please see Dataminr's candidate privacy notice available here. By providing your details and applying via our careers website, you acknowledge that you have read our candidate privacy notice. If you have any queries, please contact the People Team at *************** or privacy@dataminr.com .