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.


AI/ML

Biotechnology

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Information Technology

insitro

insitro's headquarters in South San Francisco, CA, United States

This department focuses on extracting insights and predictions from data through advanced analytical techniques.

Data Science

The Research and Development team at insitro drives the innovation and creation of new drug candidates by leveraging machine learning and high-throughput biology. The team comprises experts in drug discovery, high-throughput chemistry, molecular design, and automation, working collaboratively to transform data into actionable insights and advance the development of new therapies for patients.

Research and Development

The Software Engineering team at insitro designs and develops robust computational tools and platforms to support data analysis and machine learning applications essential for drug discovery and development. They collaborate closely with biologists and researchers to create scalable, high-performance software that accelerates the identification of potential therapeutic targets and optimizes experimental workflows.

Software Engineering

This department conducts experiments and studies to advance knowledge and innovation in various scientific fields.

Scientific Research

This department focuses on developing and implementing machine learning models and algorithms to enhance various processes and insights.

Machine Learning

The Board Members and Advisors at insitro provide strategic oversight, governance, and expert guidance to ensure the company effectively leverages its machine learning and high-throughput biology capabilities for innovative drug discovery and development. They support the executive team in making informed decisions to drive the company's mission of transforming medicine creation for patient benefit.

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Research and Development

Software Engineering

Scientific Research

Machine Learning

Board Members and Advisors