Senior Data Scientist, CompBio

The role

This person will identify therapeutic targets and discover biomarkers using multimodal analyses. They will partner with experimental biologists to design and optimize experiments to validate biological hypotheses.

What you will do

• Synthesize multimodal insights from microscopy, spatial proteomics, bulk/single-cell RNA-seq, and human cohort data
• Analyze diverse data from in vitro models to identify potential therapeutic targets
• Analyze data from diverse sources to identify and validate potential biomarkers
• Partner with experimental biologists to design, troubleshoot, and optimize experiments
• Provide statistical and computational expertise to guide assay development and biological interpretation
• Calibrate analysis tools and workflows and define performance metrics
• Conduct benchmarking to select fit-for-purpose solutions
• Share results with cross-functional stakeholders through reports, visualizations, presentations, and publications

Required qualifications

• Ph.D. in computational biology, systems biology, bioengineering, computer science, machine learning, or a related discipline
• 3+ years of working experience post-graduation
• Hands-on experience with 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
• 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
• Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
• Ability to write well-commented code and documentation
• Familiarity with coding best practices such as version control and code review

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 for birth parents and 10 weeks for new parents
• Quarterly budget for books and online courses
• New hire stipend for home office setup
• Monthly cell phone and internet stipend
• Access to free onsite baristas and daily lunch for onsite or hybrid employees
• Access to a free commuter bus network

About the company

insitro is a drug discovery and development company using machine learning and data at scale to decode biology for transformative medicines. The company uses in-house generated multi-modal cellular data and high-content phenotypic human cohort data to develop ML-driven predictive disease models.