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# Machine Learning Scientist, Omics

- **Company:** insitro
- **Location:** South San Francisco, CA, United States (Remote available)
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Network Analysis, Cloud Computing, Code Review, Computational Biology, Computer Programming, Python (Programming Language), Machine Learning, Data Processing, Information Technology, Free and Open-Source Software, Software Version Control
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_35d928aeaf11acb7a8e1345f78043e87

## About the Role

* Ph.D. in computer science, machine learning, computational biology, systems biology, or a related discipline.
 * Extensive hands on experience developing ML methods for omics data, especially single-cell RNA-seq data
 * Hands on experience analyzing single-cell RNA-seq data, in particular familiarity with the scverse ecosystem.
 * Experience with spatial transcriptomics and/or proteomics
 * Some understanding of human physiology or disease biology (e.g. neurosciences, cancer biology).
 * Familiarity with data from CRISPR-based experiments (e.g. perturb-seq)
 * Strong programming skills in scientific programming languages (i.e., Python)
 * Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review)
 * Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
 * Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues
 * Passion for making a difference in the world, * Experience working with diverse functional genomic assay data (RNA/ATAC/ChIP-seq, etc)
 * Hands on experience working with microscopy data or similar biomedical or biophysical imaging modalities
 * Understanding of systems biology approaches, including network analysis
 * First-hand experience studying diseases using omics or imaging data
 * Experience with proteomics and/or metabolomics data generated through mass spectrometry
 * Passionate about troubleshooting, asking questions and learning independently
 * Experience with modeling time-series datasets
 * Familiarity with cloud computing services (e.g., AWS or azure)
 * Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects.
 * Experience building infrastructure for data processing