Stanford University: Private research university providing academic education and medical services.
3+ YOEPhD preferred in computational biology/bioinformatics/CS or related field; 3+ years postdoctoral or professional experience; proficiency in Python, R, Bash; experience with machine learning, workflow automation, reproducible pipelines, and technical training delivery.
Edison Scientific: Developing autonomous AI agents for scientific research and discovery.
PhD in biological science or equivalent experience; familiarity with pharma/biotech regulatory landscape; experience analyzing complex biological data types; hands-on experience with LLM/agentic AI in research; strong critical thinking and presentation skills.
FreenomeNASDAQ: FRNM: Develops blood tests for early cancer detection using machine learning.
8+ YOEPhD and ≥8 years post-PhD experience in computational biology/statistics for cancer or diagnostics; deep molecular biology expertise; experience with high-throughput genomics and modeling.
Member of Technical Staff - Applied Computational Biologist
New York City or San Francisco
OnsiteFull Time
Valthos: Develops AI systems to identify biological threats and design countermeasures.
Extensive computational biology research experience, strong scientific communication, ability to analyze biological data, proficiency in Python, and ability to work on-site in New York City or San Francisco.
Inceptive: Designing AI-based mRNA molecules for vaccines and therapeutics.
PhD or equivalent experience in quantitative biology field; strong experimental design, statistics, and programming in Python; experience analyzing biological datasets and translating results to experiments.
Anthropic: Developing safe and reliable artificial intelligence systems.
PhD or equivalent industry research experience in computational biology or related field; track record of end-to-end computational biology research; proficiency with Linux, cloud compute, and scientific programming; strong communication with biologists and ML researchers.