Research Scientist, Life Sciences
Core
Build agentic tools and evaluation benchmarks to enable Claude to execute real-life science workflows in biology, translating domain knowledge into model capabilities.
Role type
Senior IC research scientist (AI for life sciences)
Builds
Agentic tools, integrations, and evaluation benchmarks for life sciences users
Domain
Artificial Intelligence / Life Sciences / Computational Biology
Deliverable
production ML models | product features
Required skills
ML and software engineering for biological problems, drug discovery or development experience, production-quality Python, training/fine-tuning LLMs, shipping computational pipelines
Preferred skills
5+ years in ML/software engineering for biology, Ph.D. in computational biology/bioinformatics/CS, LLM post-training (RLHF, SFT), therapeutic discovery pipelines, bioinformatics tooling, agentic systems, published research in ML for biology
Technologies
Python, LLMs, protein language models, deep learning architectures, bioinformatics databases (UniProt, PDB, Ensembl, NCBI)
Responsibilities
Build and ship agentic tools for bioinformatics pipelines and literature review; Design evaluation benchmarks for biology tasks; Partner with external biotech/pharma users to improve product; Maintain engineering infrastructure for biology product surface; Translate biological domain knowledge into product requirements
Seniority
Senior, hands-on IC