Job Title: Machine Learning and Computational Chemistry Scientist
Location: South San Francisco, CA
Duration: Until 01/06/2026
Requirements
- Min. 3-5 years of exp in Machine Learning Scientist with domain expertise in mass-spectrometry (MS)
- MS or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field (e.g. Computer Science, Machine Learning) or equivalent industry research experience.
- Record of scientific excellence as evidenced by at least one publication in a scientific journal or conference.
- Fluent in Python and experience with scientific software development for analytical chemistry (e.g. RDKit, MS data suite including, but not limited to, Proteowizard, Sirius, GNPS, XCMS, Asari)
- Demonstrated experience with modern Python frameworks for deep learning like PyTorch
- Experience working with biochemical or biophysical datasets including graph, sequence, and structure-based data.
- Public portfolio of projects available on GitHub/GitLab
