(Senior) Research Associate, Disease Modeling

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

The Opportunity

The heart of insitro’s strategy is the development of novel, cutting edge methods in machine learning and high-throughput biology to address key bottlenecks in the drug development pipeline. In alignment with this strategy, the disease modeling group is building up a large repertoire of scaleable cellular models for multiple disease indications.  As a Research Associate in the Disease Modeling group, you will help to establish robust, high throughput iPSC differentiation techniques to produce critical cell-types to model various diseases. You will be involved with both the incorporation and scale-up of established protocols, as well as the invention of novel differentiation methods using insitro’s data-driven functional genomics approaches. We are looking for motivated and talented candidates who are interested in being part of a unique, cross-disciplinary team of biologists, bioengineers, machine learners and data scientists who want to make a difference.


You will be joining as the founding team of a biotech startup that has long-term stability due to significant funding yet is very much information providing many opportunities for significant impact. You will work closely with a very 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

  • B.S./M.S. in biological science with preference for immunology expertise, bioengineering or relevant disciplines, or equivalent experience
  • 4+ years of relevant work experience, in academia or in industry
  • Strong experience with mammalian cell culture required
  • Strong microscopy skills, including immunohistochemistry, 3D imaging, in situ hybridization, live cell imaging, and/or high content imaging
  • Familiarity with high throughput screening and assay development
  • Experience with pluripotent stem cell culture and differentiation is highly desirable
  • Excellent lab practice and organization required

 Nice to Have

  • Both 2D and 3D cell culture and assay experience
  • Experience in characterizing mammalian cell cultures via FACS, single cell transcriptomics, or high-content imaging
  • Experience conducting transcriptomics assays to determine cell-type and function (scRNA-seq a plus)
  • Experience with automated liquid handler systems for cell culture (i.e., Bravo, Tecan, Hamilton)


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.

The company has announced collaborations with Gilead Sciences in the area of NASH (2019) and Bristol Myers Squibb in the area of ALS (2020) and, in mid 2020, completed 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
    Full-Time