High-Throughput Biology Fellow

High-Throughput Biology · South San Francisco, California
Department High-Throughput Biology
Employment Type Temporary

The Opportunity

Machine learning integrated with biology at scale lies at the core of insitro’s approach to rethinking drug discovery and development. As a high-throughput biology fellow you will help us to test and validate innovative technology in genetic perturbation, functional genomics and imaging. You will work closely with our Data Engineering, Process Engineering, Machine Learning, Translational Science, Molecular Design and Disease Modeling Teams team to productionize validated technologies and explore translational applications. You will bring cutting-edge expertise to build sophisticated molecular assays using first principles and enhance our abilities to collect more comprehensive and precise phenotypic measurements across a multitude of cell-types, assay conditions, and therapeutic areas. You will have demonstrated your ability to perform independent troubleshooting on complex workflows, to work in a highly cross-disciplinary, fast-moving and fluid environment, and to consistently deliver high quality data that has driven platform projects forward. You possess a strong collaborative work ethic, ability to adapt to changing needs, and the capacity to multitask to meet key goals. Strong communication and presentation skills are essential to success in this position. You will be a temporary employee that spends 6 months to 1 year working on a specific focused project and have an opportunity to learn about industry and start up life. Specifically, you will:

  • Design and onboard complex, cell-based (e.g. iPSC)  phenotypic assays using leading edge, high-content readouts (e.g. imaging, genomics)
  • Design and onboard next generation genetic perturbation technology in service of better, faster and more comprehensive disease modeling and drug target identification
  • Work closely with relevant functional areas to ensure quality, reproducibility and relevance of data generation
  • Scale phenotypic assays and genetic perturbation technology as needed to enable high-throughput biology research
  • Trouble-shoot and solve problems related to, cell-type dependency, protocol and reagent optimization,  automation and scaling, data acquisition and consistency, and instrument selection
  • Drive improvements in our overall process, finding efficiencies at every stage of the assay workflow
  • Partner with our Data Science/Machine Learning teams to optimize genomic/image analysis strategies and model building
  • Identify and onboard new strategies and methodologies which could advance insitro’s capabilities

You will be joining the founding team of a biotech startup that has long-term stability due to significant funding, but yet is very much in formation. Much can change in this early and exciting phase, providing many opportunities for significant impact. You will work closely with an exceptionally talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and outcomes. Join us, and help make a difference to patients!

About you

  • Ph.D. in a Biology, Biophysics, Bioengineering, Genomics, and Genetics discipline, or equivalent experience
  • An outstanding scientific track record in your area of expertise
  • Deep understanding of molecular assay development (e.g. microscopy, transcriptomics, epigenetics) and/or genetic perturbation techniques
  • Proven record of building a novel and complex phenotypic assay and/or gene-editing technique from ground up
  • Familiarity with the application of data science / ML techniques towards data analysis
  • Familiarity with liquid handling and automaton  
  • Strong team/collaborative skills
  • Strong written and verbal communication skills
  • A desire to transform drug discovery and help patients

Nice to Have

  • A demonstrated expertise in scientific programming and data analysis (e.g., Python, R) with practical application of these skills is a strong plus
  • Experience working with complex in-vitro models such as iPSC

Benefits at insitro

  • Excellent medical, dental, and vision coverage
  • Open vacation policy
  • Team lunches (catered daily)
  • Commuter benefits
  • Paid parental leave


About insitro

insitro is a data-driven drug discovery and development company using machine learning and high-throughput biology to transform the way that drugs are discovered and delivered to patients. The company is applying state-of-the-art technologies from bioengineering to create massive data sets that enable the power of modern machine learning methods to be brought to bear on key bottlenecks in pharmaceutical R&D. The resulting predictive models are used to accelerate target selection, to design and develop effective therapeutics, and to inform clinical strategy. insitro was launched in 2018 with a Series A of $100M funded by top investors including a16z, Arch Venture Partners, Foresite Capital, GV, and Third Rock Ventures. In 2019 the company announced a collaboration with Gilead Sciences in the area of NASH, a collaboration with BMS in the area of ALS, and in mid 2020, announced a Series B financing of $143M including current investors and new investors Canada Pension Plan Investment Board (CPP Investments), T. Rowe Price, BlackRock, Casdin Capital and other leading investors. The company is located in South San Francisco, CA. For more information about insitro, please visit the company’s website at www.insitro.com 

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  • Location
    South San Francisco, California
  • Department
    High-Throughput Biology
  • Employment Type