About Omics-OS:
Omics-OS is building the operating system for biology. We make biological research data accessible, harmonized, and actionable for biotech R&D teams. We are a Swiss-American TechBio startup backed by Venture Kick, with paying customers and an active pre-seed raise.
Our Differentiators:
- We build in the open. Our engine, Lobster AI, is open source (lobsterbio.com) and used by bioinformaticians and developers around the world.
- We run the company itself fully agentically, automation first. Every engineer here works alongside a fleet of AI agents (Claude Code, Codex, Gemini) running in parallel, with unlimited tokens to build with.
The Role:
You work directly with the CSO on the part of the product that creates the most customer value: turning messy, multi-source biological data into harmonized, reproducible, partner-ready evidence, and measuring whether our agents actually get it right. This is hands-on engineering with real mentorship, not solo ownership of production. It starts half-time, sized for a recent graduate or early-career engineer who is fluent in both software and biology, and the scope grows as you prove you can own more.
What you will do:
- Build and maintain bioinformatics workflows across data types (transcriptomics, genomics, proteomics, and more), from raw ingestion through QC, normalization, and biological interpretation.
- Pull and structure data from public repositories, keeping provenance and traceability tight across every workflow.
- Contribute to the data harmonization methods that turn multi-source datasets into reproducible, audit-ready inputs for our AI workflows.
- Build evaluation benchmarks and grading pipelines that measure how well our agents perform real biological tasks, and run statistical analysis on the results.
- Contribute to multi-agent LLM pipelines (LangGraph / LangChain) that power Lobster AI and our agentic workflows.
- Use AI coding agents (Claude Code, Codex, Gemini) in parallel, every day, as your default way of working.
- Write clean Python 3.12+ (async, type hints, Pydantic, pytest) and documentation that keeps a distributed team aligned.
What you bring:
- Fluent English, written and spoken. You will talk to US and EU contacts often, with consistent US Eastern or Pacific time overlap.
- A real foundation in computational biology. You have built or contributed to analysis pipelines on real datasets and you understand what the results mean scientifically, not only numerically. You know at least one omics data type and its common tools and formats.
- Python 3.12+ proficiency: type hints, Pydantic, pytest. You write code other people can read.
- You already use AI coding agents (Claude Code, Codex, Gemini, or similar) as everyday tools, and you know your way around at least one LLM provider API (Anthropic, OpenAI, or Gemini).
- Bias to action. You care whether a result is actually correct, you write things down, and you do not wait to be chased.
- Bonus: LangGraph or LangChain for multi-agent workflows, evaluation frameworks, AWS fundamentals, or contributions to scientific papers (NeurIPS, ICML, bioRxiv).
What you will gain:
- Work directly with the CSO on the technical core of a TechBio product used by real R&D teams.
- Master agentic, automation-first engineering: shipping real systems with a fleet of AI agents and unlimited tokens.
- Contribute to an open-source engine (Lobster AI) that bioinformaticians around the world actually use.
- A track record and reference that carries weight in TechBio, AI, and life sciences engineering roles.
Growth path:
- This starts as a half-time contractor role with a clear path to full-time engineering work for strong performers as the team scales.
Compensation:
- Competitive, negotiable (half-time contractor).
