Full Stack Engineer
You'll work with React, TypeScript, and Python (or Node.js) to build AI-driven matchmaking systems connecting pharma with medical experts. The platform processes 9M+ clinician profiles and billions of records, automating healthcare commercialization workflows for global drug development at G LNK (YC W25).
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Job Title
Full Stack Engineer
Salary
Not Disclosed + Equity
Company Description
G LNK (YC W25) is an AI-powered healthcare commercial intelligence platform backed by Y Combinator, Dell Technologies Capital, and Ten Eleven Ventures, currently experiencing 250% month-over-month growth.
Job Description
Join G LNK as a Full Stack Engineer to build AI-driven matchmaking systems connecting pharma companies with medical experts. You'll architect features across React, TypeScript, and Python, managing a database of 9M+ clinician profiles and billions of records. Help automate complex healthcare commercialization workflows while shipping code that impacts global drug development.
Location
London, UK
Why this role is remarkable
Work at the intersection of AI and healthcare, leveraging LLMs, vector search, and semantic retrieval to transform how medical experts are identified for clinical trials.
Join a high-growth YC W25 startup backed by top-tier investors like Dell Technologies Capital and Ten Eleven Ventures during a period of massive 250% MoM traction.
Gain significant technical ownership by working directly with the founders to shape the architecture and product direction of a platform handling billions of healthcare data records.
What You Will Do
Build and maintain responsive frontends using React and TypeScript while developing robust backend services in Python or Node.js to support complex workflows.
Design and optimize scalable data pipelines and analytics engines capable of processing over 9M clinician profiles and extensive global payment datasets.
Collaborate directly with the CTO and CEO to translate product requirements into high-performance technical solutions, owning features from initial concept through to production.
The ideal candidate
Strong full-stack engineering background with professional experience in React/TypeScript on the frontend and either Python or Node.js on the backend.
Proven experience building data pipelines or performing advanced analytics on large-scale datasets involving millions of profiles or billions of individual records.
A high-ownership startup mentality with the ability to navigate ambiguity, ship code independently, and thrive in a fast-paced, onsite London environment.