Compbio Data Scientist



201-500 employees

Machine learning-driven drug discovery and development

Data & Analytics
AI & Machine Learning

$200,000 - $225,000

Annual Performance Bonus Plan, Equity Incentive Plan


San Bruno, CA, USA

Required Skills
Microsoft Azure
Data Analysis
  • Ph.D. in computational biology, systems biology, engineering, machine learning, or a related discipline, with 3+ years of working experience post graduation.
  • Extensive hands on experience analyzing single-cell and bulk RNA-seq data
  • Experience with spatial transcriptomics and/or proteomics
  • Some understanding of human physiology or disease biology (e.g. neurosciences, cancer biology)
  • Experience analyzing data from CRISPR-based experiments (i.e. 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 assays 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
  • Performing analysis of large scale datasets with an emphasis on multimodal measurements and data integration
  • Utilizing diverse machine learning and bioinformatic methods to perform downstream analysis and integrate omics, imaging, and human cohort data
  • Directly impacting all target prioritization efforts, advancing understanding of diseases, and aiding the development of new treatments
  • Working with a cross-functional team to identify therapeutic targets and develop drugs of high efficacy and low toxicity

Insitro stands out as a pioneering drug discovery and development company, utilizing machine learning and high-throughput biology to transform the traditional, often inefficient, process of creating medicines. The company's unique approach combines human genetics, functional genomics, and machine learning to construct predictive in vitro human cell-derived disease models, aiming to deliver more effective medicines faster and at a lower cost. With a diverse team of experts in life sciences, machine learning, human genetics, engineering, and drug discovery, insitro fosters a collaborative culture that integrates the languages of biology and machine learning, making it an ideal workplace for those seeking to advance tomorrow's medicines.

Company Stage

Series C

Total Funding



South San Francisco, California



Growth & Insights

6 month growth


1 year growth


2 year growth



Excellent medical, dental, and vision coverage

Excellent mental health and well-being support

Open vacation policy

Access to free onsite baristas & cafe with daily lunch and breakfast

Access to free onsite fitness center

Commuter benefits

Paid parental leave

Competitive pay and 401(k) matching

Flexible work schedule (on site and remote)