Associate Scientist iPSC Automation Tech & Biobanking

Insitro

South San Francisco, CA, US
  • Job Type: Full-Time
  • Function: Life Sciences R&D/Engineering
  • Post Date: 02/14/2021
  • Website: insitro.com
  • Company Address: 259 E Grand Ave, South San Francisco, California 94080, US

About Insitro

insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients.

At insitro, we are rethinking the entire drug discovery process, from the perspective of machine learning, human genetics, and high-throughput, quantitative biology. Over the past five decades, we have seen the development of new medicines becoming increasingly more difficult and expensive, leaving many patients with significant unmet need. We’re embarking on a new approach to drug development – one that leverages machine learning and unique in vitro strategies for modeling disease state and designing new therapeutic interventions. We aim to eliminate key bottlenecks in traditional drug discovery, so we can help more people sooner and at a much lower cost to the patient and the healthcare industry.

Job Description

Machine learning integrated with biology at scale lies at the core of insitro’s approach to rethinking drug discovery and development. In this role you will contribute to the core biology platform that insitro is building by working as a key member of the team working on many aspects of iPSC technology such as iPSC QC, banking and media preparation. A successful candidate will play a role on cross-functional teams that encompass research biology, engineering and data science disciplines to design experiments, develop novel iPSC models at scale, and develop large, innovative disease relevant-biological datasets using cutting edge, high-throughput automation platforms.  You will possess strong interpersonal skills, 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. 

 

About You

  • B.S. in Biology or equivalent experience
  • Familiarity with iPSC cell culture techniques
  • An understanding of cell-biology
  • Meticulous about experimental details and lab work   
  • Strong data entry skills 
  • Strong team/collaborative skills
  • Strong written and verbal communication skills 
  • A desire to transform drug discovery and help patients

 

Nice to Have

  • Familiarity with liquid handling and automation
  • Familiarity with standard molecular biology techniques

 

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 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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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.