Building the foundational data layer that connects scientific research with modern AI infrastructure.
Senior Full Stack Engineer
Referral bonus eligible. Know someone who would be great for this role? Refer them to a Fluency Digital recruiter. If they're placed, you may be eligible for a referral bonus of up to $5,000 (terms apply). Refer someone for this role
We're a small, well-funded team that started this year with a clear conviction: scientific progress is throttled by fragmented, inaccessible data. Our platform ingests, normalizes, and structures research outputs across life sciences, making them queryable and machine-ready for labs, biotechs, and government agencies. As the second engineering hire, you'll shape the architecture from the ground up—owning features across a Python/Django backend and a Next.js frontend, deploying on GCP, and working directly with the founders to turn a working prototype into a product that researchers actually rely on. This is a hands-on, high-autonomy role where your decisions on data modeling, API design, and UI performance will define the developer and researcher experience for years.
What they're looking for
- 4–8 years of professional experience building and shipping full-stack web applications, with deep fluency in Python (Django) and TypeScript (Next.js)
- Comfortable modeling complex, relational data and designing clean APIs that serve both internal and external consumers
- Experience deploying and managing services on cloud infrastructure, ideally GCP, with an eye toward observability and reliability
- Strong product intuition and communication skills—you're eager to talk to researchers, understand their workflows, and translate that into pragmatic engineering decisions
- Based in or willing to relocate to San Francisco and work on-site with a tight-knit, in-person team