Scientist II, Arrayed Screening

Responsibilities

• Develop, optimize, and execute arrayed screening assays in 96- and 384-well plate formats
• Design and implement cell-based screening workflows using various cellular models
• Support small-molecule, genetic, and perturbational screening efforts
• Partner with automation teams to scale assays using liquid handlers and screening platforms
• Analyze screening and assay data using statistical and visualization tools
• Collaborate with ML and data science teams to ensure reproducible, model-ready datasets
• Maintain rigorous documentation in Benchling/LIMS systems
• Present experimental plans and results to multidisciplinary teams

Requirements

• PhD in cell biology, molecular biology, biochemistry, pharmacology, or related field
• 2–5 years of relevant post-PhD industry experience
• Hands-on experience developing cell-based assays in high-throughput formats
• Experience with high-content imaging, fluorescence, or luminescence assays
• Strong mammalian cell culture skills and aseptic technique
• Familiarity with molecular biology approaches like CRISPR or qPCR
• Ability to analyze and communicate complex biological datasets
• Proficiency with tools such as GraphPad Prism, Spotfire, Benchling, Python, or R

Preferred Qualifications

• Prior experience in biotech or pharma high-throughput screening
• Experience developing phenotypic assays for disease-relevant human cell models
• Experience generating datasets for machine learning or image analysis
• Familiarity with assay miniaturization and automation troubleshooting

Benefits

• Annual Performance Bonus Plan and Equity Incentive Plan
• 401(k) with employer matching
• Medical, dental, and vision coverage
• Open, flexible vacation policy
• Paid parental leave
• Quarterly budget for professional development
• Monthly cell phone and internet stipend
• Onsite amenities including free baristas and daily lunch

About the Company

insitro is a drug discovery and development company using machine learning and data at scale to decode biology for transformative medicines.