Research Scientist, Life Sciences

• Experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar

• Experience working in drug discovery or development at a biotech or pharma company, or conducted fundamental research in an academic setting — with an understanding of what real scientific workflows look like and where they break down

• Strong software engineering skills: comfortable building production-quality Python, working in large codebases, and owning infrastructure end-to-end

• Hands-on experience training or fine-tuning ML models (LLMs, protein language models, or other deep learning architectures)

• A track record of shipping computational tools or pipelines that biologists actually use

• Comfortable navigating ambiguity and defining problems in a rapidly evolving research environment

• Able to work independently while collaborating tightly with research, product, and domain-expert teams

• Results-oriented with a bias toward rapid iteration and measurable impact

• Passionate about using AI to accelerate scientific discovery while maintaining high ethical standards

• 5+ years of experience applying ML and software engineering to biological problems — computational biology, bioinformatics, protein ML, genomics, or similar

• Ph.D. in computational biology, bioinformatics, bioengineering, CS, or a related quantitative field — or equivalent industry experience

• Experience with LLM post-training: RLHF, RL from verifiable rewards, SFT data curation, or eval-driven development

• Direct experience with therapeutic discovery pipelines — target identification, lead optimization, ADMET modeling, or clinical data analysis

• Familiarity with bioinformatics tooling and pipelines (sequence analysis, structure prediction, single-cell, variant calling, etc.)

• Experience building agentic systems or tool-use environments

• Published research in ML for biology, or open-source contributions to computational biology tools

• Fluency with biological databases (UniProt, PDB, Ensembl, NCBI) and the ability to reason about their schemas and failure modes

$300,000 - $320,000 USD