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 capabilities and vast and / or deep datasets related to human health. We need to be nimble, thoughtful, and creative in prioritizing and accessing them, as well as in how to best leverage the insights coming off of our platform to deliver impactful medicines to patients.
In this role, you will partner with the corporate development team and scientific colleagues to help track and evaluate the evolving landscape of data and technologies relevant to the application of machine learning for drug discovery and development. You will contribute to insitro’s drug development strategy, partnering with internal stakeholders to landscape, prioritize, and pursue in-licensing opportunities motivated by novel insights emerging from the insitro platform. You will help ensure the success of our existing partnered programs by assisting with Alliance Management. You will help maximize the impact of insitro’s platform and insights by supporting the identification, structuring, and execution of additional high-leverage partnerships.
Your responsibilities will include the following:
You will be joining an exciting biotech startup that has long-term stability due to significant funding, but yet is very much in formation. A lot can change in this early and exciting phase, 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!
Nice to Have
Benefits at insitro
insitro is a data-driven 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. insitro’s approach focuses on the development of predictive machine learning models to be brought to bear on key bottlenecks in pharmaceutical R&D. The company has established enabling collaborations with Gilead in NASH and Bristol Myers Squibb in ALS. insitro is located in South San Francisco, CA and has been supported by 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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