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Associate Scientist I/II
Pooled Cellular Screening
Confirmed live in the last 24 hours
San Bruno, CA, USA
Experience Level
Desired Skills
Data Analysis
Data Science
  • B.S. in a biological science, biomedical engineering, or equivalent focus
  • Relevant lab experience with fluorescence microscopy, molecular and cellular biology
  • A "rolled-up sleeves" attitude, willing to personally run operations in-lab to conduct critical experiments for insitro's drug discovery pipelines
  • Ability to handle complex projects and remain organized in a fast-paced environment
  • Excellent record-keeping in electronic lab notebooks (ELN) and experiment tracking
  • Strong team/collaborative skills
  • Strong written and verbal communication skills
  • A desire to transform drug discovery and help patients
  • Conduct the daily operations of one of insitro's industry-leading genetic screening platforms
  • Work closely with other Advanced Cellular Technology Group scientists to design and carry out complex, large-scale pooled genetic screens
  • Conduct frequent QC on the system, working closely with automation and data engineers to ensure system integrity and data quality
  • Document projects thoroughly, using insitro's electronic lab notebook (ELN) system- Manage multiple projects simultaneously, prioritizing when necessary
  • Culture iPSCs and iPSC-derived cell types- Conduct molecular biology steps (plasmid cloning, PCR, RNAseq, lentivirus packaging) necessary to achieve high-throughput pooled screens
  • Trouble-shoot and solve problems related to cell culture, differentiation, pooled screening, gene editing, optics, and lab automation
Desired Qualifications
  • 2+ years industry experience, or MS in one of the above focus areas
  • Familiarity with iPSC culture, gene editing, lab automation, scRNAseq, and/or image analysis
  • A demonstrated expertise in scientific programming and data analysis (e.g., Python, R) with practical application of these skills is a strong plus
  • Familiarity with the application of data science / ML techniques towards data analysis

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)