Staff / Principal Software Engineer at GenBio AI
Palo Alto, CA
$250,000–$350,000
Aug 17, 2026
Palo Alto, CA
Nov 9, 2026
What this job asks for AI summary
This role is responsible for building the user-facing software platform that exposes an AI-driven Virtual Cell system to computational biologists, experimental scientists, and pharmaceutical researchers. Day-to-day work centers on designing and shipping production-grade backend services, scalable APIs, and distributed systems that connect frontend applications to large biological databases and AI inference engines. It suits a senior individual contributor comfortable bridging AI research and product engineering in a fast-moving biotech startup.
Staff level · 8+ years · Full-time
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How this req sits in the market our data
What the occupation pays Median $138,970 (middle half $107,524–$175,762).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Aug 20, 2026. It is a model, not a headcount.
Why we read it this way (6)
The posting targets a 'Staff to Principal-level' engineer; the actual scope (senior IC, cross-functional technical leadership, 8+ years) most closely maps to Staff. Principal is mentioned as an upper bound but the role is framed as a single senior IC position, not an org-wide authority role.
No work location or remote policy is stated. The company (GenBio AI) appears to be US-based (E-Verify participation noted), but no city, state, or remote status is specified — location fields are left blank.
No compensation figures are provided.
The required skills section names no specific named technologies (languages, frameworks, databases, cloud platforms). The hard gates are described in capability terms (production web services, scalable APIs, distributed backend systems, AI/LLM integration). Concrete tool names appear only in preferred/context sections and are absent even there — skills are captured at the capability level accordingly.
Domain knowledge in computational biology, genomics, transcriptomics, protein/molecular structures, and scientific simulation tooling are listed under Preferred Qualifications.
Ignored 1 non-technology phrase(s) as skills (responsibilities/concepts, not named tools): workflow orchestration.
Read the full posting
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