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Data Program Manager, Science

OpenAI· Research
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Hybrid (San Francisco)$207k - $230k + equityFull-timePosted 1w ago

About the role

Data Program Manager supporting researchers to develop and execute scientific data programs, connecting OpenAI’s research priorities with data, expertise and external partners, with a focus on biology and chemistry.

Responsibilities

  • Develop data strategies with Research. Translate research goals, model limitations and evaluation gaps into evidence needs and success criteria. Compare acquisition with internal, public and commissioned alternatives.
  • Find distinctive sources for research. Build trusted local and international relationships across research and industry, including organisations at the scientific frontier.
  • Assess opportunities in scientific context. Inspect samples for provenance, context, quality and completeness. Assess usefulness, involving researchers and specialists as needed.
  • Shape partnerships with lasting scientific value. Understand partners’ ambitions and define pilots, deliverables and acceptance criteria, considering expertise, scientific contribution and continuing relationships alongside commercial terms.
  • Lead commercial and operational execution. Develop proposals, assess pricing and negotiate terms. Coordinate Legal, Privacy, Security, Procurement and engineering to clarify permissions, responsibilities and delivery.
  • Navigate sensitive collaborations. Understand institutional interests and confidentiality. Identify ethical, privacy, security and misuse concerns early, involving specialists to develop responsible arrangements.
  • Follow through into research use. Coordinate preparation, ingestion, access and documentation. Gather researcher feedback to inform whether to expand, change or stop.
  • Make thoughtful portfolio decisions. Recommend options based on research value, cost, timing and capacity. Identify shared needs and opportunities for useful collaboration across projects.
  • Make the work more repeatable. Use code, APIs, automation and AI tools to improve sourcing, assessment and delivery. Resolve recurring blockers with engineers and retain partner knowledge and research feedback.

Qualifications

  • Substantial grounding in biology, chemistry or related sciences through research, industry or equivalent experience, and ability to engage critically with methods and evidence.
  • Experience delivering complex scientific, data or partnership projects, with depth in scientific data and evaluation, commercial partnerships or research collaborations across organisations.
  • Ability to test claims, match evidence to research needs and make clear recommendations while acknowledging uncertainty.
  • Experience working directly with data, inspecting unfamiliar files, and using Python, SQL, APIs and AI-assisted coding to answer questions and reduce manual work.
  • Strong listening, questioning and negotiation skills, with ability to develop local and international relationships and understand partner value beyond the transaction.
  • Discretion to recognize when specialist input is needed for scientific, ethical or safety questions.
  • Comfort in fast-moving environments with ownership across multiple projects and ability to prioritize in changing needs.
  • Willingness to tackle ambiguous opportunities and convert them into practical plans and follow through on details.
  • Able to rapidly learn and contribute to AI training, evaluation and unfamiliar research areas.

Skills

Required:Biology or chemistry domain knowledgeScientific data / partnerships deliveryData analysis and tooling

Benefits

  • Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)
  • 401(k) retirement plan with employer match
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)
  • Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend to fuel your professional growth
  • Daily meals in our offices, and meal delivery credits as eligible
  • Relocation support for eligible employees
  • Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.
Last updated Oct 15, 2026. Interested? Apply on the company site.

About OpenAI

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