Research Scientist, Life Sciences (Experimental Biology)
Core
Designing and executing experimental biology programs (molecular biology, biochemistry, protein/nucleic acid characterization, high-throughput screens) to generate data for AI model improvement and biological discovery.
Role type
Founding Research Scientist (Experimental Biology & AI)
Builds
Experimental data and biological insights used to train and evaluate AI agents for scientific discovery
Domain
Life Sciences / Computational Biology / AI Safety
Deliverable
production ML models
Required skills
Molecular biology, biochemistry, protein/nucleic acid characterization, high-throughput functional screens, assay development, Python, ML development practices
Preferred skills
Scientific AI applications, modern machine learning techniques, model training methodologies, biological databases (UniProt, GenBank, PDB), computational biology tools
Technologies
Python, Claude, internal agent frameworks
Responsibilities
Design, execute, and iterate on experimental programs; Partner with computational biologists to design experiments; Generate and prioritize hypotheses; Use AI frameworks for experimental planning and data interpretation
Seniority
Senior, hands-on IC