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Lead/Senior Computational Biology Data Scientist
Imaging
Confirmed live in the last 24 hours
Locations
San Bruno, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
AWS
Data Analysis
Google Cloud Platform
Git
R
NumPy
Python
Requirements
  • Ph.D. in computational biology, systems biology, engineering, machine learning, or a related discipline, or equivalent practical experience (e.g., a Master's degree plus 3 years of relevant industry experience)
  • Extensive hands on experience working with microscopy data or similar biomedical or biophysical imaging modalities
  • Experience with spatial transcriptomics and/or proteomics
  • Some understanding of human physiology or disease biology
  • Extensive experience with scientific programming in Python and R, including expertise using numpy, scipy, bioconductor, and similar toolkits
  • Good programming skills in scientific programming languages (e.g., Python, R)
  • Committed to writing well-commented code and documentation, and familiarity with coding standard processes (i.e. git)
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
  • Passion for making a difference in the world!
Desired Qualifications
  • Experience analyzing single-cell RNA-seq data
  • Experience working with diverse functional genomic assays (RNA/DNase/ATAC/ChIP-seq, etc); exposure to CRISPR-based experiments a plus
  • First-hand experience studying diseases using omics or imaging data
  • Experience with proteomics and/or metabolomics data generated through mass spectrometry
  • Publication record of meaningful contributions to high-quality work in relevant computational biology, systems biology, life sciences, or biomedical venues
  • Passionate about troubleshooting, asking questions and learning independently
  • Experience with modeling time-series datasets
  • Familiarity with cloud computing services (e.g., AWS or GCP)
  • Demonstrated ability to write software in a team, industry experience or substantial involvement with open source projects
  • Experience building infrastructure for data processing
Insitro

51-200 employees

Data-driven drug discovery & development
Company Overview
Insitro’s mission is to use machine learning and data at scale to transform the way that drugs are discovered and developed for patients. The company is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale to advance novel targets and patient biomarkers, design therapeutics, and inform clinical strategy.
Benefits
  • 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)