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Data Science & Machine Learning Intern: Statistical Genetics
Confirmed live in the last 24 hours
San Bruno, CA, USA
Experience Level
Desired Skills
Data Science
Google Cloud Platform
  • Working towards a BS, MS, or Ph.D. in an engineering, computer science, mathematics, statistics, life science, chemistry, physics, or a related discipline
  • Proficiency in one or more general-purpose programming languages. We primarily use Python
  • Demonstrated ability to use and develop cutting edge statistical and machine learning methods inspired by real problems
  • Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs)
  • Experience with germline single nucleotide variants, structural variants, and/or somatic variants
  • Ability to communicate effectively and collaborate with people of diverse backgrounds and job functions
  • Passion for making a difference in the world
Desired Qualifications
  • Hands-on experience with genetic association testing (eQTL mapping, GWAS, EWAS, PheWAS, etc.) or experience mining modern, large-scale genetic databases (e.g. ExAC/gnomAD, UK Biobank, EBI GWAS Catalog, etc.)
  • Experience in Linux environment, database languages (e.g., SQL, No-SQL) and version control practices and tools such as Git or Mercurial
  • Familiarity with the SciPy/PyData ecosystem (numpy, pandas, scipy, dask etc.)
  • Familiarity with cloud computing services (AWS or GCP)

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.
  • 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)