MP
$300,000 – $320,000
Listed on Menlo Ventures Portfolio’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
This role involves building machine learning tools and evaluation frameworks to help Claude assist with real biological research workflows, from bioinformatics to drug discovery. It suits someone with both computational biology expertise and production software engineering skills who has shipped tools that practicing scientists actually use.
Our summary, not Menlo Ventures Portfolio’s wording. The full posting is on their site.
Skills this role names
- Agentic systems
- Bioinformatics
- Git
- LLMs (Large Language Models)
- Machine Learning
- Python
- Reinforcement Learning
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What they ask for
Required
- Applied ML and software engineering to biological problems
- Experience in drug discovery, pharma, biotech, or fundamental biology research
- Production-quality Python and large codebase experience
- Hands-on model training or fine-tuning experience
- Shipped computational tools or pipelines used by biologists
- Comfortable with ambiguity in research environments
- Independent and collaborative working style
- Results-oriented approach
Nice to have
- 5+ years applying ML to biology
- Ph.D. in computational biology, bioinformatics, bioengineering, or CS
- LLM post-training experience (RLHF, RL from rewards, SFT, eval-driven development)
- Therapeutic discovery pipeline experience
- Bioinformatics tooling familiarity (sequence analysis, structure prediction, variant calling)
- Agentic systems or tool-use environment building
- Published ML for biology research or open-source contributions
- Fluency with biological databases (UniProt, PDB, Ensembl, NCBI)