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OpenAI

Data Program Manager – Science

OpenAI

. Develop data strategies with Research by translating research goals, model limitations and evaluation gaps into evidence needs and success criteria .

Posted 10/13/2026full-timeSan Francisco • California • United StatesMid-LevelSenior💰 $207,000 - $230,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in developing data strategies and managing complex scientific projects, with a strong foundation in biology or chemistry. Proficient in using Python, SQL, and APIs to enhance data sourcing and evaluation while navigating ethical and security considerations.

Highest-signal resume keywords
Python ProgrammingSQL ProficiencyData Strategy DevelopmentScientific Data EvaluationCommercial Partnership Management

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data AcquisitionResearch CollaborationData Quality AssessmentEvidence MatchingProject Management
Soft Skills
Relationship BuildingDiscretionAdaptabilityProblem SolvingCommunication
Tools & Technologies
APIsAI ToolsAutomation
Industry Keywords
BiologyChemistryResearch PartnershipsEthical ConsiderationsData Privacy

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Develop data strategies with Research by translating research goals, model limitations and evaluation gaps into evidence needs and success criteria
  • Compare data acquisition with internal, public and commissioned alternatives
  • Find distinctive research data sources and build local and international relationships across research and industry
  • Assess samples for provenance, context, quality and completeness, involving researchers and specialists as needed
  • Shape research partnerships, pilots, deliverables and acceptance criteria
  • Develop proposals, assess pricing and negotiate commercial terms
  • Coordinate Legal, Privacy, Security, Procurement and engineering on permissions, responsibilities and delivery
  • Navigate institutional interests, confidentiality, ethical concerns, privacy, security and misuse risks
  • Coordinate data preparation, ingestion, access and documentation for research use
  • Gather researcher feedback and recommend whether to expand, change or stop initiatives
  • Recommend portfolio options based on research value, cost, timing and capacity
  • 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

Requirements

What you’ll need
  • Substantial grounding in biology, chemistry or related sciences through research, industry or equivalent experience
  • Experience delivering complex scientific, data or partnership projects
  • Depth in one or more of 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, including inspecting unfamiliar files and investigating quality
  • Proficiency or experience using Python, SQL, APIs and AI-assisted coding
  • Ability to build and develop local and international scientific or industry relationships
  • Ability to exercise discretion and recognise when scientific, ethical or safety questions require specialist input
  • Ability to manage multiple projects and prioritise changing needs
  • Ability to learn AI training, evaluation and unfamiliar research areas quickly

Benefits

Comp & perks
  • Equity
  • Performance-related bonus(es) for eligible employees
  • 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)
  • Paid medical and caregiver leave (up to 8 weeks)
  • Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
  • 13+ paid company holidays
  • Multiple paid coordinated company office closures throughout the year
  • Paid sick or safe time
  • Mental health and wellness support
  • Employer-paid basic life and disability coverage
  • Annual learning and development stipend
  • Daily meals in offices
  • Meal delivery credits as eligible
  • Relocation support for eligible employees
  • Charitable donation matching and wellness stipends may also be provided
  • Immigration and sponsorship support may be provided based on individual circumstances