Biology Computational Jobs in San Francisco, CA

We’re looking for a computational biologist to help us curate, build, and scale a comprehensive set of drug discovery tools.

on a high-impact team that operates at the intersection of computational and experimental biology.

We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

Biology, Bioinformatics, Biomedical Engineering, or a related field (PhD is a plus) 2+ years building bioinformatics pipelines or computational biology

We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

Computational biology has a long tradition of open, shared software, and we want to contribute to it well.

chemistry, bioinformatics, structural biology, biophysics or a related field Expertise in the application of machine learning methods for small molecule

, including graduate studies (molecular biology, biochemistry, computational biology, or related fields) Experience working with large-scale biological

We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science.

We're building the alternative: human-first drug discovery, powered by organoids and AI, running on real human biology from the very first experiment.

biology, bioinformatics, structural biology, biophysics or a related field Expertise in the application of machine learning methods for biologics design

, cell biology, molecular biology, or related fields Strong hands-on wet-lab experience Ability to independently design, execute, and