insitro is changing the way that drugs are discovered and developed for patients by applying a machine learning-driven approach that leverages insights derived from a combination of external human cohort data and high-quality molecular data generated in-house. To enable and execute on this vision, we require access to vast and / or deep datasets with high-content measurements related to human health. We need to be nimble, thoughtful, and creative in prioritizing, accessing, and / or creating these datasets, as well as in how to best leverage the data and our platform to maximally benefit patients.
In this role, you will partner with the corporate development and strategy team and scientific colleagues to help map and evaluate the evolving landscape of human data relevant to the application of machine learning for drug discovery, development, and delivery. You will contribute to insitro’s scientific and corporate strategy, partnering with internal stakeholders to landscape, prioritize, and pursue opportunities to acquire, license, and / or create human cohort data motivated by the opportunity to empower the insitro platform. You will help maximize the impact of insitro’s platform and insights by supporting the identification, structuring, and execution of diverse collaborations focused on insitro’s machine learning capabilities across human genetic and clinical data.
Your responsibilities will include the following:
You will be joining an exciting biotech startup that has long-term stability due to significant funding, while maintaining a culture of innovation. You will work closely with a very talented team, learn a broad range of skills, and help shape insitro’s culture, strategic direction, and impact on patient outcomes. Join us, and help make a difference!
Nice to Have
Benefits at insitro
insitro is a drug discovery and development company using machine learning and data generation at scale to transform the way that drugs are discovered and delivered to patients. We rely on human genetic cohorts, human-derived cellular disease models, and high-throughput biology and chemistry to identify coherent patient segments, actionable therapeutic targets, and new or existing chemical matter. The goal is to deliver predictive insights to improve the probability of success and reduce the number of costly dead ends along the R&D journey. The company has established enabling collaborations with Gilead in NASH and Bristol Myers Squibb in ALS and is building a pipeline of wholly owned and partnered medicines leveraging its unique insights on patient biomarkers, targets, and molecules. insitro is located in South San Francisco, CA and has raised over $600M from top tech, biotech, and crossover investors since formation in 2018. For more information on insitro, please visit the company’s website at www.insitro.com.
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