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Forward Deployed Engineer (FDE), Life Sciences - SF

OpenAI

Forward Deployed Engineer (FDE), Life Sciences - SF is a still-open role at OpenAI on Jobrow. Location: On-site · San Francisco · California · United States. Listed pay: $185k–$300k. Sourced from the company's public Ashby board. First seen 23 hours ago; last confirmed 15 hours ago. Apply on the employer ATS — Jobrow is not the employer.

Pay
$185k–$300k
Workplace
On-site
Location
San Francisco · California · United States
First seen
23 hours ago
Last seen
15 hours ago
Board
Ashby
Apply

About this role

About the team OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI

  • Function: Engineering
  • Seniority: mid

Location & pay

On-site · San Francisco · California · United States Listed pay on Jobrow: $185k–$300k.

Source

Jobrow reads the public Ashby board for OpenAI. First seen 23 hours ago; last seen 15 hours ago. We are not the employer — apply only on the company ATS.

Posting

About the team OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments. About the role We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence. This role is based in San Francisco. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role, you will: - Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows. - Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints. - Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact. - Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling. - Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model an

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