Forward Deployed Engineer (FDE), Life Sciences - London in City of London
Forward Deployed Engineer (FDE), Life Sciences - London

Forward Deployed Engineer (FDE), Life Sciences - London in City of London

City of London Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead AI deployments in life sciences, transforming data into impactful production systems.
  • Company: Join OpenAI, a pioneering AI research and deployment company.
  • Benefits: Hybrid work model, relocation assistance, and travel opportunities.
  • Why this job: Make a real difference in drug discovery and development with cutting-edge technology.
  • Qualifications: 5+ years in software/ML engineering; experience in biotech or pharma preferred.
  • Other info: Dynamic team environment with a focus on innovation and collaboration.

The predicted salary is between 36000 - 60000 £ per year.

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.

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 London. 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 and product changes.
  • Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

You might thrive in this role if you:

  • Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.
  • Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.
  • Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.
  • Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.
  • Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.

Forward Deployed Engineer (FDE), Life Sciences - London in City of London employer: OpenAI

OpenAI is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the life sciences sector. With a commitment to employee growth, we provide opportunities for professional development through hands-on experience in deploying cutting-edge AI systems, all while enjoying the vibrant atmosphere of London. Our hybrid work model and relocation assistance further enhance the appeal of joining our team, making it a rewarding environment for those looking to make a meaningful impact in the field.
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Contact Detail:

OpenAI Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Forward Deployed Engineer (FDE), Life Sciences - London in City of London

✨Tip Number 1

Network like a pro! Reach out to people in the life sciences and AI sectors on LinkedIn or at industry events. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Show off your skills! Prepare a portfolio or case studies showcasing your previous projects, especially those related to AI systems in regulated environments. This will help you stand out during interviews.

✨Tip Number 3

Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your responses. Focus on articulating how your experience aligns with the role of a Forward Deployed Engineer.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team at OpenAI.

We think you need these skills to ace Forward Deployed Engineer (FDE), Life Sciences - London in City of London

Software Engineering
Machine Learning Deployment
Customer-Facing Ownership
Biotech Knowledge
Pharma Experience
Clinical Research Understanding
Scientific Software Development
Evaluation Design
Error Analysis
Regulatory Compliance
Audit Readiness
Communication Skills
Systems Thinking
Project Management
Data Provenance

Some tips for your application 🫡

Tailor Your Application: Make sure to customise your CV and cover letter for the Forward Deployed Engineer role. Highlight your experience in biotech or pharma, and how it aligns with our mission at StudySmarter. We want to see how you can bring your unique skills to the table!

Showcase Your Technical Skills: Don’t hold back on showcasing your software and ML engineering experience. We’re looking for someone who can lead end-to-end deployments, so be sure to mention any relevant projects or systems you've worked on that demonstrate your technical prowess.

Communicate Clearly: When writing your application, keep it clear and concise. We value communication skills highly, especially when it comes to translating complex technical concepts into understandable terms. Show us you can bridge the gap between science and technology!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter!

How to prepare for a job interview at OpenAI

✨Know Your Stuff

Make sure you brush up on your knowledge of AI systems, especially in the context of life sciences. Understand how these technologies can impact drug discovery and development. Be ready to discuss specific examples from your past experiences that demonstrate your expertise.

✨Showcase Your Problem-Solving Skills

Prepare to talk about how you've tackled ambiguous workflow needs in previous roles. Think of a few scenarios where you translated complex requirements into actionable plans. Highlight your ability to frame problems and drive solutions, especially in regulated environments.

✨Communicate Clearly

Practice explaining technical concepts in simple terms. You’ll need to communicate with diverse audiences, from scientists to executives. Use clear examples to illustrate how you’ve successfully bridged the gap between technical and non-technical stakeholders in your past projects.

✨Be Ready for Evaluation Discussions

Since this role involves running evaluation loops, be prepared to discuss how you've measured success in previous deployments. Bring examples of how you’ve used feedback to improve systems and processes, and be ready to talk about specific metrics or benchmarks you’ve established.

Forward Deployed Engineer (FDE), Life Sciences - London in City of London
OpenAI
Location: City of London
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  • Forward Deployed Engineer (FDE), Life Sciences - London in City of London

    City of London
    Full-Time
    36000 - 60000 £ / year (est.)
  • O

    OpenAI

    100-250
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