Science Data Partnerships Manager

Openai; United States; Remote; USD 120,000 - 190,000; Full time

Job summary

OpenAI in San Francisco is seeking a Data Program Manager, Science to connect researchers with data, expertise and external partners, accelerating biology and chemistry data initiatives.

You will translate research goals into evidence needs, build partnerships across the scientific ecosystem, and shepherd opportunities from initial assessment to delivery, ensuring responsible data handling and ethical collaboration.

Qualifications

• Substantial grounding in biology or chemistry through research, industry, or equivalent experience.
• Experience delivering scientific data or partnership projects across organisations.
• Ability to test claims, match evidence to research needs and make clear recommendations.

Responsibilities

• Develop data strategies with Research, translating goals into evidence needs and success criteria.
• Build trusted relationships with research and industry partners for data sourcing.
• Assess data provenance, quality and usefulness with researchers and specialists as needed.
• Shape partnerships with pilots, deliverables and acceptance criteria while considering scientific contributions.
• Lead commercial and operational execution: pricing, terms, and cross-functional coordination (Legal, Privacy, Security, Procurement, Engineering).
• Navigate sensitive collaborations with attention to ethics, privacy and misuse concerns.
• Coordinate data preparation, ingestion, access and documentation for research use.
• Make portfolio recommendations based on research value, cost, timing and capacity.
• Automate sourcing, assessment and delivery using code, APIs and AI tools.

Skills

Biology

Chemistry

Data analysis

Python

SQL

APIs

AI-assisted coding

Tools

Python

SQL

APIs

Job description

OpenAI in San Francisco is seeking a Data Program Manager, Science to connect researchers with data, expertise and external partners, accelerating biology and chemistry data initiatives.

You will translate research goals into evidence needs, build partnerships across the scientific ecosystem, and shepherd opportunities from initial assessment to delivery, ensuring responsible data handling and ethical collaboration.