AWS, Azure, C Programming, C++, Effective communication skills, GoLang, Postgres, Python Programming, SPARK Programming, TypeScript
At insitro, our vision is to redefine the future of drug discovery by combining the latest research in human biology and machine learning, at scale.
To get closer to that vision, we need tools that facilitate the acquisition of insights from human biology and chemistry with greater efficiency and speed.
As a Software Engineer in the ChemiSWE team, you will work closely with a cross-functional team of scientists and engineers on a wide spectrum of problem domains. Our main focus however, is building software for efficient storage, processing and analysis of massive datasets of chemical matter. To support insitro's work at this scale, our team is passionate about the craft of scientific software engineering, ensuring that our tools, infrastructure, and models are scalable, correct, maintainable, and robust.
About You
Benefits at insitro
GDPR
The Controller of your personal data is Insitro, Inc., with offices at 279 East Grand Avenue, South San Francisco, California, United States. Your personal data is processed for the purposes of the current recruitment process. Providing your personal data is voluntary, but its processing and transfer to the United States by or on behalf of Insitro, Inc. is necessary for this purpose. You have the right to access, correct, modify, update, rectify, and request the transfer or deletion of your personal data.
You hereby consent to Insitro, Inc., with offices at 279 East Grand Avenue, South San Francisco, California, United States, retaining and processing your personal data after the current recruitment process is finished, for the purposes of future recruitment processes. You have the right to withdraw this consent at any time by sending a notification to recruiting@insitro.com.
insitro is a data-driven drug discovery and development company using machine learning and data at scale to transform the way that drugs are discovered and developed for patients. insitro is developing predictive machine learning models to discover underlying biologic state based on human cohort data and in-house generated cellular data at scale. These predictive models can be brought to bear on key bottlenecks in pharmaceutical R&D.
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
4-6 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
4-6 year
South San Francisco, CA, USA
4-6 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
6-8 year
South San Francisco, CA, USA
2-4 year
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
0-2 year
South San Francisco, CA, USA
6-8 year
South San Francisco, CA, USA
4-6 year
South San Francisco, CA, USA
4-6 year