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Senior Data Scientist, CompBio

insitro· Data Science and Machine Learning
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South San Francisco, CA$183k - $194k + equity + bonusFull-timePosted 1mo ago

About the role

Senior computational biologist role focused on multimodal data integration (omics/imaging) to identify therapeutic targets, biomarkers, and mechanisms in drug development. Hybrid in-person schedule in South San Francisco, reporting to Head of Computational Biology and ML-Omics.

Responsibilities

  • Synthesize Multimodal Insights: Draw insights from multimodal analyses (microscopy, spatial proteomics, bulk/single-cell RNA-seq, human cohort data) to uncover disease mechanisms and generate therapeutic hypotheses
  • Identify Therapeutic Targets: Analyze diverse data from disease-relevant in vitro models to identify potential therapeutic targets from perturbation screens
  • Discover Biomarkers: Analyze data from diverse sources to identify and validate potential biomarkers for monitoring disease status and progression
  • Partner on Experimental Design: Work with experimental biologists to design, troubleshoot, and optimize experiments that generate and validate mechanistic and therapeutic hypotheses
  • Provide Domain Expertise: Bring statistical and computational expertise to guide assay development and the biological interpretation of results
  • Benchmark and Calibrate: Calibrate analysis tools and workflows, define performance metrics, and conduct benchmarking to select fit-for-purpose solutions
  • Communicate Findings: Share results with cross-functional stakeholders through reports, visualizations, presentations, and publications

Qualifications

  • Ph.D. in computational biology, systems biology, bioengineering, computer science, machine learning, or a related discipline, with 3+ years of working experience post-graduation
  • Hands-on experience with diverse data modalities, including at least one of: single-cell RNA-seq, fluorescence microscopy, spatial proteomics or transcriptomics, or label-free microscopy
  • Deep understanding of statistical modeling and data analysis, with a demonstrated ability to rigorously interpret complex datasets and generate mechanistic hypotheses
  • Understanding of molecular biology or disease biology (e.g., neurological, cardiovascular, or metabolic disorders)
  • Strong programming ability and proficiency with Python scientific packages such as NumPy and pandas
  • Meaningful contributions to high-quality work published in relevant computational biology, systems biology, life sciences, or biomedical venues
  • Collaborative Communicator: ability to communicate effectively with diverse teams
  • Engineering Discipline: code documentation, version control, and code review practices

Skills

Required:Ph.D. in relevant fieldMultimodal data analysisProgramming in PythonStatistical modelingCommunication

Benefits

  • 401(k) plan with employer matching
  • Medical, dental, and vision coverage, mental health and well-being support
  • Open, flexible vacation policy
  • Paid parental leave of at least 16 weeks (birth) and 10 weeks for a new parent
  • Quarterly budget for books and online courses
  • New hire stipend for home office setup
  • Monthly cell phone & internet stipend
  • Free onsite baristas and daily lunch for onsite/hybrid employees
  • Free commuter bus network to South San Francisco HQ
Last updated Sep 3, 2026. Interested? Apply on the company site.

About insitro

Making Medicines Differently

At insitro, we are building a different kind of drug company to bring better drugs faster to the patients who can benefit most. Through the power of machine learning (ML) and data at scale, we decode the complexities of biology to unlock transformative new medicines.

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