AI Practice Lead - Life Sciences & Healthcare EPAM SystemsAI Practice Lead - Life Sciences & HealthcareSan Francisco, CAWork with EPAM’s clients and EPAM internal teams (business SME’s, account management teams, etc.) to shape the AI/ML/Agentic business and technology vision and GTM offerings aligned with current and emerging needs. • 10+ years of experience as Data Science Lead, Machine Learning Engineering Lead, or similar roles in the Healthcare, Pharmaceutical, MedTech/BioTech space.
Senior Data Science Manager - Marketing Science PrizePicksSenior Data Science Manager - Marketing ScienceSan Francisco, CARemote$180,000–$210,000 / yearOversee the development & maintenance of production-grade machine learning models, across topics such as customer lifetime value, customer segmentation, multi-armed bandits, media mix modeling, and attribution. As Senior Data Science Manager, Marketing Science, you will lead the team that advances our Marketing capabilities, driving initiatives around machine learning model development & causal inference, to enable better & more rapid decision making.
Applied Science / Data Science Leader AttentiveApplied Science / Data Science LeaderSan Francisco, California$320,000–$380,000 / yearAttentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE , Attentive’s collective of employee resource groups. This will be a leadership role overseeing our applied science / data science team and you will lead a team of high-performing data scientists responsible for solving some of the company’s most strategic product and business challenges.
Sr Manager, Economics & Applied Science, AWS Central Econ and Science Amazon.com IncSr Manager, Economics & Applied Science, AWS Central Econ and ScienceSan Francisco, CAThis role will shape the strategic direction of the AWS Central Economics and Science team and collaborate with other science teams at AWS, especially those working on developing policies so that AWS sellers and partners meet customers where they are and help them grow. As this role is responsible for setting and executing the priorities of a centralized team, stakeholder management, working backward and partnering to work across teams (earns trust) is vital.
NewGlobal Account Manager, Healthcare and Life Sciences, Health Care and Life Sciences, Field - AWS Industries - HCLS - AWSI Amazon.com IncGlobal Account Manager, Healthcare and Life Sciences, Health Care and Life Sciences, Field - AWS Industries - HCLS - AWSISan Francisco, CAYour responsibilities will include engaging with C-suite customers across Life Sciences organizations to deepen our relationships, working with strategic industry partners, attending and speaking at industry events to drive thought leadership, leading the process to guide our Go-to-Market (GTM) strategy, and creating significant business opportunities for AWS. You will lead and drive multiple complex initiatives across technical and non-technical stakeholders to meet business objectives with a customer-obsessed and collaborative approach, strong data and metrics, a good understanding of industry ecosystems for life sciences, and a passion for helping them transform using cloud technologies.
Director, Qualitative Research and Survey Science , PXT Central Science (PXTCS) Amazon.com IncDirector, Qualitative Research and Survey Science , PXT Central Science (PXTCS)San Francisco, CAFrom there, you will design the approach, working in close partnership with the quantitative research leaders in PXTCS, so that qualitative work, survey measurement, and quantitative analysis combine into one answer rather than three separate ones. Maintain and raise the bar on the science behind Amazon"s employee survey program, coordinating with senior leaders across Amazon so survey content delivers actionable insights for their businesses.
Data Science Undergraduate Major Advisor (5156) Job #88073 - Data Science Undergraduate Studies (DSU University of CaliforniaData Science Undergraduate Major Advisor (5156) Job #88073 - Data Science Undergraduate Studies (DSUBerkeley, CA$64,260–$90,000 / year25% Student Orientation, Recruitment and Admissions: Plans and implements outreach programs with specifically targeted institutions; advises prospective applicants on necessary academic preparation; appropriateness of program as it pertains to the prospective applicant's goals; utilizing in-depth knowledge of the organization's admissions criteria, helps rank applicants for admissions; evaluates domestic and international transcripts for degree eligibility; initiates and arranges student recruitment visits. As a condition of employment, the final candidate who accepts a conditional offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; received notice of any allegations or are currently the subject of any administrative or disciplinary proceedings involving misconduct; have left a position after receiving notice of allegations or while under investigation in an administrative or disciplinary proceeding involving misconduct; or have filed an appeal of a finding of misconduct with a previous employer.
Principal Data Science/AI Product Manager - ROCGJP00042846 Triune InfomaticsPrincipal Data Science/AI Product Manager - ROCGJP00042846South San Francisco, CAThe role partners with data science, engineering, IT, and product teams to define roadmaps, translate user and market needs into AI-driven solutions, build business cases, and deliver scalable, measurable impact through user-centric and ethical AI. Partner closely with the Director, AI Product Owner and Executive Director of AI Technical Delivery Team to lead the development of business cases for new and enhanced AI/ML product capabilities that embed AI into Client's integrated customer experience model.
Program Manager/Scrum Master, Data Science & Machine Learning The Fountain Group LLCProgram Manager/Scrum Master, Data Science & Machine LearningSouth San Francisco, CA$67.38–$81.56 / hourScrum & Agile Facilitation (DS/ML Operations) Facilitate Core Ceremonies: Lead sprint planning, daily standups, backlog refinement, and retrospectives tailored to non-linear Data Science & ML workflows. Program & Delivery Execution Dependency & Milestone Tracking: Track internal technical deliverables and cross-functional dependencies across data pipelines, model builds, and engineering integrations.
Project Manager (Life Science Project Management Advisory) Brailsford and DunlaveyProject Manager (Life Science Project Management Advisory)San Francisco, CA$100,000–$150,000 / year5+ years of experience in project management, real estate development, construction, architecture, engineering, or related fields, with familiarity managing life sciences environments, including laboratory facilities, research spaces, GMP environments, clean rooms, or other specialized technical infrastructure preferred. An opportunity for an experienced real estate and project management professional who enjoys leading projects, collaborating with clients and project teams, and delivering high-quality life sciences facilities from early planning through completion.
K-8 Science Education Specialist Tuvalabs, LLCK-8 Science Education SpecialistSan Francisco, CATuva partners with schools, districts, curriculum publishers, and assessment organizations to bring our data literacy instructional program and our interactive, easy-to-use data, graphing, and statistical tools to teachers and students globally. Materials might include investigations, inquiry-based learning activities, videos, simulations, datasets, or other resources that help science educators successfully engage students with NGSS.
K-8 Science Education Specialist (Remote) TuvaK-8 Science Education Specialist (Remote)San Francisco, CARemoteTuva partners with schools, districts, curriculum publishers, and assessment organizations to bring our data literacy instructional program and our interactive, easy-to-use data, graphing, and statistical tools to teachers and students globally. Materials might include investigations, inquiry-based learning activities, videos, simulations, datasets, or other resources that help science educators successfully engage students with NGSS.
Part-Time Lecturer Pool - Oceanography & Natural Sciences (Chemistry, Physics and Oceanography) (AY 26/27) California State University Maritime AcademyPart-Time Lecturer Pool - Oceanography & Natural Sciences (Chemistry, Physics and Oceanography) (AY 26/27)Vallejo, CA$5,507–$6,677In accordance with the California State University (CSU) Out-of-State Employment Policy, the CSU is a state entity whose business operations reside within the State of California and prohibits hiring employees to perform CSU related work outside of California. The Department of Oceanography and Natural Sciences (OcNS) at California Polytechnic State University Maritime Academy invites applications for a pool of part-time lecturers from our local geographic area.
Science Project Manager & Grant Writer (Part-Time / Flexible) Joint AcademyScience Project Manager & Grant Writer (Part-Time / Flexible)San Francisco, CaliforniaInnovation & efficiency Use modern AI tools (literature review, drafting, project management, grant monitoring) to maximize productivity. Clinical study support & administration Support setup, documentation, and coordination of clinical trials and research collaborations.
Associate Director, Data Science, Functional Genomics Merck & Co IncAssociate Director, Data Science, Functional GenomicsSouth San Francisco, CA$176,200–$277,300 / yearRequired Skills: Amazon Web Services (AWS), Bioinformatics, Biological Data Analysis, Computational Biology, Computational Genomics, CRISPR-Cas System, Data Engineering, Data Modeling, Data Science, Data Visualization, Gene Expression Profiling, Genome, Genome Sequencing, Genomic Analysis, Genomics, Machine Learning (ML), Omics, RNA-Seq, Single-Cell Genomics, Software Development. MS in computational biology, bioinformatics, biostatistics, biophysics, mathematics, statistics, genetics/genomics, computer science or a related STEM discipline and a minimum of 8 years of relevant professional experience, including hands on experience analyzing large scale NGS and functional genomics datasets.
NewConvergehealth Life Sciences - Product Forward Deployed Engineer - Innovation_Delivery_Transformation DeloitteConvergehealth Life Sciences - Product Forward Deployed Engineer - Innovation_Delivery_TransformationSan Francisco, CA$105,400–$207,800 / yearWorking across Product Management, Engineering, Account, and Pursuit teams, and in close partnership with the FastForward Sales Executive, the pFDE builds and leads product demonstrations, proves technical fit and feasibility, and translates client workflows into credible solution approaches that move opportunities from qualification through proof of value. Day to day, the pFDE will have the following key responsibilities: Pre-Sales Discovery & Technical Qualification: Lead technical discovery sessions with prospective clients, alongside account, pursuit, and product teams, to understand commercial workflows, data, integration needs, and success criteria for Salesforce Life Sciences Cloud.
Life Sciences Commercial Strategy Consultant ZSLife Sciences Commercial Strategy ConsultantSouth San Francisco, CaliforniaAs a management consulting and technology firm focused on improving life and how we live it, we transform ideas into impact by bringing together data, science, technology and human ingenuity to deliver better outcomes for all. MBA with bachelor's (and often graduate) degrees with a strong academic record in business, economics, marketing, psychology, physical or life sciences, engineering, applied math, statistics, or related fields.
Associate Director, Quality Engineer/Data Science Allogene Therapeutics IncAssociate Director, Quality Engineer/Data ScienceSouth San Francisco, CAIn this role, you will report to the head of Validation and Quality Engineering, and you will be responsible for developing and leading the Quality Data Science/Quality Engineering function to embed the principles and practices of applied statistics, data science and machine learning to further Allogene's efforts in leading the establishment of an allogeneic CAR T platform, and to provide guidance and data driven insights across Allogene's programs. Provide direction and input to project teams utilizing the principles of applied science and statistics to drive strategies for process and analytical understanding and overall product quality control, including approaches for product comparability, process validation, product monitoring, stability trending and lifecycle management/improvement.
Director of Data Science Bridge It IncDirector of Data ScienceSan Francisco, CAHands-on familiarity with modern AI-assisted coding and agentic tools such as Claude Code, Cursor, GitHub Copilot, OpenAI Codex, or similar, with a strong point of view on how these tools can improve data science productivity, quality, and business impact. 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.
Staff Product Manager, Applied Science Pinterest IncStaff Product Manager, Applied ScienceSan Francisco, CARemote$164,695–$339,078 / yearPinterest's work in this space is grounded in a few core principles: using historical user data to understand evolving preferences, developing models and systems that can support multiple tasks and surfaces, and maintaining infrastructure in a cost-conscious way to support sustainable scale across hundreds of millions of users. Demonstrated experience owning a shared ML or AI platform - such as feature stores, embedding platforms, representation learning infrastructure, recommender systems, or equivalent - where the customers are internal engineering and product teams with competing priorities.