Founding Scientific AI Product Engineer (£70k-£100k + Equity) at EF-backed Pharma AI Startup

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Job Title

Founding Scientific AI Product Engineer

Salary

£70k-£100k + Equity

Company Description

EF-backed AI startup automating clinical intelligence for global pharma enterprises

Job Description

Join a high‑growth startup founded by Cambridge AI experts to automate pharmaceutical competitive intelligence. You will bridge the gap between engineering and enterprise clients, iterating on agentic AI systems that monitor clinical trials, regulatory filings, and patents. Your work replaces manual data triage with real‑time, intelligent insights for the world’s leading pharma companies.

Location

London, UK

Why this role is remarkable

  • Founding team impact with significant equity, working directly alongside the CEO/CTO to shape product‑market fit from the ground up.
  • Backed by prestigious investors including Entrepreneurs First and Transpose Platform, with enterprise revenue and paying customers already secured.
  • Solve a high‑value data problem in a $1T+ market by replacing thousands of manual research hours with cutting‑edge agentic AI systems.

What You Will Do

  • Collaborate with engineers to design and prompt‑engineer AI agents capable of performing complex scientific research and competitive landscaping tasks.
  • Build robust evaluation frameworks and benchmarks to measure AI performance against the rigorous requirements of pharmaceutical enterprise users.
  • Act as the internal voice of the life sciences user to define the product roadmap and translate client feedback into technical features.

The ideal candidate

  • At least 2 years of experience in pharma competitive intelligence, commercial strategy, or life sciences consulting (e.g., L.E.K., IQVIA, ZS).
  • A strong scientific foundation with an undergraduate degree in life sciences; a PhD is highly preferred but not mandatory.
  • High intuition for AI with experience using or building LLM‑based tools to optimize research workflows and handle vast amounts of unstructured data.

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Company: Jack & Jill
Apply for the Founding Scientific AI Product Engineer (£70k-£100k + Equity) at EF-backed Pharma AI Startup
Location: London
Job Description:

Job Title

Founding Scientific AI Product Engineer

Salary

£70k-£100k + Equity

Company Description

EF-backed AI startup automating clinical intelligence for global pharma enterprises

Job Description

Join a high‑growth startup founded by Cambridge AI experts to automate pharmaceutical competitive intelligence. You will bridge the gap between engineering and enterprise clients, iterating on agentic AI systems that monitor clinical trials, regulatory filings, and patents. Your work replaces manual data triage with real‑time, intelligent insights for the world’s leading pharma companies.

Location

London, UK

Why this role is remarkable

  • Founding team impact with significant equity, working directly alongside the CEO/CTO to shape product‑market fit from the ground up.
  • Backed by prestigious investors including Entrepreneurs First and Transpose Platform, with enterprise revenue and paying customers already secured.
  • Solve a high‑value data problem in a $1T+ market by replacing thousands of manual research hours with cutting‑edge agentic AI systems.

What You Will Do

  • Collaborate with engineers to design and prompt‑engineer AI agents capable of performing complex scientific research and competitive landscaping tasks.
  • Build robust evaluation frameworks and benchmarks to measure AI performance against the rigorous requirements of pharmaceutical enterprise users.
  • Act as the internal voice of the life sciences user to define the product roadmap and translate client feedback into technical features.

The ideal candidate

  • At least 2 years of experience in pharma competitive intelligence, commercial strategy, or life sciences consulting (e.g., L.E.K., IQVIA, ZS).
  • A strong scientific foundation with an undergraduate degree in life sciences; a PhD is highly preferred but not mandatory.
  • High intuition for AI with experience using or building LLM‑based tools to optimize research workflows and handle vast amounts of unstructured data.

#J-18808-Ljbffr…

Posted: May 2nd, 2026