Senior Software Engineer

Bringing a new drug to market takes over a decade and costs more than a billion dollars. A huge portion of that time and cost sits in clinical trials, where teams of medical reviewers manually comb through patient data looking for errors, inconsistencies, and safety signals before anything reaches regulators. The work is slow, expensive, and error‑prone, and it has barely changed in decades. We are changing that. We are building the AI‑powered review platform that pharma sponsors and CROs use to clean and review clinical trial data faster and more reliably than manual review. We have signed contracts with multiple pharma customers running live studies, and we are backed by a $3M seed round. Our recent paper documents what the platform achieves on real oncology trial data: 6× faster throughput, 6.4× fewer missed errors, 15.4× fewer false queries, and an estimated $5.1M in savings per Phase III trial. The numbers come from a hybrid architecture combining LLMs, clinical heuristics, and structured human review. The Role We are looking for a Senior Software Engineer to join our small team and help us ship the features that our pharma customers need. You will report directly to the CTO and work across our platform building new capabilities, improving existing ones, and helping us keep the quality bar high as we grow. This is a hands‑on role focused on building. You will own well‑scoped pieces of work end‑to‑end: from spec to implementation to tests to deploy. You will see your code go into production fast and running on real clinical trial data within days. What you'll work on Building new features across our platform modules in Python and TypeScript Improving the reliability, performance, and test coverage of our existing codebase Contributing to our data pipelines that ingest, normalize, and process clinical trial data Helping integrate and evaluate LLM‑powered components as part of our hybrid AI + heuristics approach Sitting in on customer calls to see how data managers and medical reviewers actually use the platform, and using what you learn to write better software Pairing with the CTO and founding engineer on architecture decisions, raising issues you see, and helping shape how we build Our Stack Python and TypeScript, Postgres, AWS. Comfort with these is a plus, but strong engineers who have worked in adjacent stacks will pick them up fast. Core 4-8 years shipping production software Solid backend fundamentals in Python (or a similar language you can translate from quickly) Comfort working across the stack, including writing frontend code in TypeScript and React when needed Working knowledge of relational databases (Postgres or similar) and SQL Care about correctness, readability, and testing: you write code other people want to maintain Ability to take a scoped problem, break it down, and ship it without heavy handholding Why this is worth your time Real problem, real customers. We have signed contracts with multiple pharma customers and are running live studies today. You will ship software that touches patient safety data in real trials, not a demo. Accelerated growth. Small team, short feedback loops, direct access to the CTO. You will grow as an engineer faster here than at most companies. Meaningful scope. Real ownership over the features you build, with room to push back and propose better approaches. Interesting domain. Clinical trial data is messy, high‑stakes, and deeply interesting. You will learn things you cannot learn anywhere else. #J-18808-Ljbffr