Genesis pairs frontier AI with world-class drug hunters to discover small molecule medicines. Built on Pearl and GEMS. Partnered with Gilead and Incyte. Backed by a16z.
About the role
Genesis Molecular AI is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform. Build and expand on tools for visualizing molecules and proteins, analyzing machine learning models, and managing complex chemical workflows
What they're looking for
- A strong software engineer who will write code quickly and uphold our code quality standards
- A deep thinker who reasons from first principles over pattern matching
- Interested in learning about biochemistry and the drug development process
More about this role
Genesis Molecular AI is building a world-class software team to solve problems in drug discovery through machine learning, biophysical simulation, and computational chemistry. We are looking for engineers excited to help develop new medicines and play a critical role in building out our software platform.
Build and expand on tools for visualizing molecules and proteins, analyzing machine learning models, and managing complex chemical workflows
Work closely with machine learning engineers and medicinal chemists to develop and productionize new computational methods for molecular property prediction
Help scale our core infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs
A strong software engineer who will write code quickly and uphold our code quality standards
A deep thinker who reasons from first principles over pattern matching
Interested in learning about biochemistry and the drug development process
The opportunity to work on high impact tools and products that are immediately deployed to accelerate the discovery of new medicines
Strong technical coworkers in AI, software, and chemistry, who all have a powerful mix...
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