About the Startup
- Seed-stage startup ($3M raised) founded by talent from Google, Meta, and Merck
- Building AI agents to automate and improve clinical trial data review across complex data sources
- Platform helps pharma sponsors and CROs clean, analyze, and validate study data faster and more reliably than manual processes
About the Role
You'll be our first engineering hire outside the founding team, joining a working platform with paying customers. You will report directly to the CTO and own significant parts of the platform alongside the founding team. You will make architectural decisions that shape the product for years, work directly with pharma customers on problems that have never had good software solutions, and help build the engineering culture of a company shipping serious software into a highly regulated industry. This is a hands-on, high-ownership role. You will write production code every day and set the bar for what we ship. For the right person, we see a clear path into Head of Engineering as the team grows, with the opportunity to hire, lead, and shape the engineering org.
What you'll work on
Architecting and scaling our AWS infrastructure to support a growing portfolio of trials, while maintaining the security posture pharma IT teams expect (SSO, WAF, SIEM, pen testing) Building robust, flexible data integrations across the fragmented landscape of clinical trial data sources, dictionaries, and standards Designing the infrastructure that makes a hybrid LLM and heuristic system reliable enough for regulated use: evaluation pipelines, reproducibility, audit trails, and guardrails Working directly with customers (data managers, medical monitors, biostatisticians) to understand their workflows and pain points, and translating what you learn into product Partnering on deployments, sandbox environments, and pilot studies Setting technical direction: stack choices, code review standards, testing discipline, deployment workflows
Tech Stack
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
- 5+ years shipping production software
- Strong backend fundamentals in Python, with willingness to work full-stack in TypeScript when needed
- Solid database design, ideally with Postgres at scale
- Comfort with AWS and modern deployment workflows
- Ability to reason about system design under real constraints: correctness, auditability, and performance on messy real-world data
- Comfort talking to non-technical users and turning what you hear into good software
Nice to Have
- Life sciences, clinical trials, or healthcare software experience (EDC systems, clinical data management, regulatory software)
- Production experience with LLM-powered applications (evals, prompt design, structured outputs, tool use)
- Previous startup or founding engineer experience
- Frontend fluency in React SOC-2 or HIPAA compliance experience
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