Job Description:

About Our Client

Our client builds the commercial intelligence layer for bio-pharma go-to-market teams: a single source of truth for healthcare markets, spanning millions of clinician profiles, billions of prescription and procedure claims, institutional data on tens of thousands of hospitals and health systems, and fair market value benchmarking for compliant engagements.

Founded by a team with deep roots in pharma consulting and biochemistry research, our client is a Y Combinator company that closed its pre-seed round. 

The Role

Our client's product turns healthcare data into commercial intelligence for pharma go-to-market teams. The research and modelling side is owned by the Head of Data — what the team needs now is the engineering counterpart: someone who can turn that into a production-grade, enterprise-ready platform that top pharmaceutical companies can trust with sensitive data.

You'll be the go to engineer with high ownership, working directly with the Founder/CEO and the Head of Data to build and own the infrastructure, delivery, and engineering discipline behind the product. It's a hands-on, individual-contributor role today, with a clear, defined route to leading engineering as the team and client base grow. If that sounds like your kind of build, we'd love to get you on a call

What You'll Do

• Own the engineering build for the core platform: architecture, infrastructure, deployment, and delivery

• Act as the technical counterpart to the Head of Data, turning research and models into reliable, production-ready software

• Build for the bar that regulated enterprise pharma buyers expect — reliability, data handling, and security — working alongside the company's compliance advisor rather than owning compliance yourself

• Help set engineering standards and practices as the team grows from a handful of builders into a structured function

• Work directly with the founding team on architecture decisions for major new client integrations and product initiatives

• Take on progressively more ownership of the engineering function, with a clear path to leading it as the team scales

What We're Looking For

• Significant experience as a senior or staff-level software/data engineer, ideally having taken a product from early-stage build through to enterprise-ready delivery

• Strong Python, and comfortable working in Rust

• Experience with graph and/or vector databases (Neo4j or similar), plus standard data infrastructure (Databricks, Elasticsearch, MongoDB or equivalents)

• Comfortable working alongside ML/data science output — understanding how models are trained and productionised, even without owning model development yourself

• Experience delivering products into regulated or compliance-sensitive environments (healthcare, fintech, or similar) — you don't need to own compliance, but you understand what "enterprise-ready" means to a regulated buyer

• Genuine early-stage startup experience: comfortable with ambiguity and pace, and used to being one of a small number of engineers building the whole stack

• A strong bias to action and ownership — someone who can be handed a hard, loosely-defined problem and run with it

Nice to Have

• Background in bio-pharma, healthcare data, or life sciences

• Prior experience as a founding engineer or early technical hire at a startup

• Familiarity with ML pipeline tooling (feature engineering, model versioning/deployment), even if not a model builder

• Experience working toward SOC 2 or equivalent security/compliance certifications

Details

Location: Full-time, based in London — an in-person, in-office role with a fast-paced, high-intensity early-stage team

Reporting line: Reports to the Founder/CEO; works closely with the Head of Data

Compensation: Equity included

Visa: Sponsorship considered for the right candidate with existing UK work history