Full Stack Software Engineer
Builds core data infrastructure for lab data integration, ships full-stack features with Python backend and TypeScript/Next.js frontend, and designs queryable schemas for scientific data. Requires strong Python/TypeScript, deep database knowledge, and CS degree or equivalent.
About the job
Responsibilities
- Build core data infrastructure: ingestion, normalization, storage, indexing
- Ship across the stack (Python backend, TypeScript/Next.js frontend)
- Design schemas that make heterogeneous lab data queryable
- Work with scientists to turn domain problems into working software
- Own reliability and make good tradeoffs on quality vs. speed
Requirements
- Strong in Python and TypeScript
- Know databases deeply (not just how to use them, how they work)
- Comfortable independently solving problems end-to-end
- Curious about science and how labs actually operate
- CS degree or equivalent
Nice-to-Haves
- Experience with scientific data, Django, Next.js, GCP, SQL, early-stage startups
Compensation
- Competitive base with flexible salary/equity split ($140K - $220K, 1.00% - 3.00%)
Skills
Python, TypeScript, Next.js, Django, GCP, SQL, Databases
Similar jobs
Fullstack Engineering jobsBuild and own scalable full-stack systems for financial institution onboarding, integrating with banking infrastructure and compliance providers. The role requires modern web technology experience, strong system design skills, customer collaboration, and a bachelor's degree.
Build and test full-stack growth features that improve reader activation, retention, and creator success on Substack. The role requires at least three years of software engineering experience, product ownership, and familiarity with TypeScript, Node/Express, React, and Postgres.
Build scalable platforms, services, and internal tools supporting payments, claims submission, and revenue-cycle workflows. The role requires 3+ years of engineering experience, strong system and frontend architecture knowledge, and familiarity with technologies such as React, Node.js, TypeScript, Kafka, and AWS.
Develops AI and security features for enterprise products, owning greenfield projects from inception to launch. Requires 5+ years experience in product engineering with AI/ML and security, fullstack skills in Golang/Java/TypeScript, and cross-functional collaboration.
Builds cross-functional software infrastructure and simulation tooling for autonomy teams, including testing, deployment, mapping, and perception workflows. Requires a bachelor's degree, 3+ years of professional software engineering experience, strong C++, and experience with developer tooling and cloud infrastructure.