zella-group~3mo ago
Staff Software Engineer (Full Stack, AI Platform, Life Sciences)
Software EngineerSoftware Engineering
2 views0 saves0 applied
Quick Summary
Key Responsibilities
Python, Django, React, GraphQL, AWS/GCP/Azure, SQL, REST APIs Strong fit if you have: 4+ years professional full-stack or backend engineering (no internships) Built and shipped produc
Technical Tools
Software EngineerSoftware Engineering
Client is a 25-person AI startup accelerating drug discovery for pharma and biotech. Hypergrowth, top-priority hire.
You'll own foundational systems on a platform used by world-class researchers — from design through production.
Responsibilities
~1 min read- →Build across the full stack from scratch — frontend and backend
- →Design and own scalable backend services, APIs, and data pipelines
- →Ship fast within sprint cycles, contributing to production within your first few weeks
- →Translate complex scientific workflows into clean, high-performance software
- 4+ years professional full-stack or backend engineering (no internships)
- Built and shipped production systems at an early-stage or high-growth startup — founder or early employee background a strong plus
- Experience with data-intensive applications and scalable system design
- Proficiency in Python and React; Django and GraphQL a plus
- BS in CS, STEM, or equivalent technical background from top school
- Interest in life sciences, drug discovery, or computational biology
- Intellectually curious, asks good questions, engages deeply with the problem space
- Thrives in high-communication, in-person team environments
- Based in SF or willing to relocate; 4–5 days on-site
- Pure big pharma/life sciences software backgrounds with no startup exposure
- Big tech only, no product-forward experience
- Multiple stints under 8 months
Location & Eligibility
Where is the job
San Francisco, United States
On-site at the office
Who can apply
US
Listing Details
- First seen
- June 29, 2026
- Last seen
- July 26, 2026
Posting Health
- Days active
- 89
- Repost count
- 0
- Trust Level
- 17%
- Scored at
- September 27, 2026
Signal breakdown
freshnesssource trustcontent trustemployer trust
External application
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