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Weekend Biotech Data Science Jobs in California (NOW HIRING)

Fullpower Technologies, Inc.

Data Scientist

Santa Cruz, CA · On-site

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Fullpower Technologies

Data Scientist

Santa Cruz, CA · Remote

$130K - $170K/yr

... and biotechnology. Fullpower's platform is vetted and deployed as a PaaS, backed by a patent ... The ideal candidate will have a strong background in machine learning and data science and a proven ...

Allogene Therapeutics

MSAT Data Science Engineer

Newark, CA · On-site

$120K - $140K/yr

Allogene Therapeutics, with headquarters in South San Francisco, is a clinical-stage biotechnology ... We are seeking a highly motivated individual to join us as a Data Science Engineer, Manufacturing ...

Ropes & Gray

... biotech/pharmaceutical industries. * Demonstrated applied experience in data science, data ... analytics, or quantitative risk analysis (academic or professional). * Foundational knowledge of ...

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AI Product Manager - Data Science

South San Francisco, CA • On-site

Dawar Consulting
IT Services • 11 - 50 employees
Learn more about Dawar Consultingexternal

$85 - $90/hr

Other

Medical, Retirement

Posted 16 days ago

Job description

South San Francisco, United States | Posted on 08/26/2026

Our client, a world leader in biotechnology and life sciences, is looking for an “ AI Product Manager - Data Science ”.

Job Duration: Long-Term Contract (Possibility Of Extension)

Rate: $85-$90/hr on W2

Company Benefits: Medical, Paid Sick Leave, 401 (k)

We are seeking aPrincipal Data Science/AI Product Managerto lead the strategy, roadmap, and delivery of innovative AI/ML products supporting Commercial, Medical, and Government Affairs. This role will partner with Data Science, Engineering, IT, and business leaders to develop AI-powered solutions that improve customer engagement, personalization, automation, and decision-making.

Key Responsibilities
  • Define AI/ML product vision, strategy, roadmap, and priorities.
  • Lead development of AI/ML and Generative AI product capabilities.
  • Create PRDs, product requirements, user stories, and prioritized backlogs.
  • Partner with Data Science, Engineering, IT, and business stakeholders.
  • Build business cases and demonstrate measurable ROI/business impact.
  • Drive experimentation, UAT, product launches, and post-launch optimization.
  • Manage internal and external technical teams and consultants.
  • Ensure responsible AI, governance, scalability, and compliance.
  • Communicate product strategy and progress to senior/executive stakeholders.
Required Qualifications
  • Bachelor’s degree in Business, Data Science, Engineering, or related field.
  • 8+ yearsof combined Product Management, Data Science, AI/ML, or software development experience.
  • Hands-on knowledge ofAI/ML, Generative AI, NLP, or Deep Learning.
  • Proficiency inPython, R, Scala, or SQL.
  • Strong experience withPRDs, Agile/Scrum/Kanban, product roadmaps, a.
  • nd product lifecycle management.
  • Experience leading enterprise AI/ML strategy and cross-functional initiatives.
  • Strong executive communication and stakeholder management skills.
  • Understanding of cloud and enterprise architectures such asSaaS, PaaS, and IaaS.
Preferred
  • Advanced degree in AI, Data Science, Business, or related field.
  • Healthcare, pharmaceutical, biotech, or other regulated-industry experience.
  • Experience with Responsible AI, AI governance, model monitoring, scalability, and cost optimization.
  • Experience with user research/design thinking and digital transformation.
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