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
A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigative curiosity to find the root cause of a problem Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- A deep thinker who reasons from first principles, balances attention to detail with architectural thinking, and has an investigative curiosity to find the root cause of a problem
- Comfortable owning problems across the entire stack — frontend interfaces, backend services, data pipelines, and infrastructure
- Experienced shipping production code and driving projects end-to-end with minimal hand-holding
- Motivated by working closely with users to understand their problems and design simple solutions
- Excited to work at the intersection of software engineering, drug discovery, and machine learning
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.
Own and evolve the full-stack platform that computational chemists use daily, from data exploration and experiment management to real-time visualization, shipping AI-native workflows and modern interaction patterns that shorten the loop between hypothesis and insight
Build tools for exploring and visualizing high-dimensional datasets containing molecules, proteins, and ML model predictions
Design flexible systems for running complex chemical workflows incorporating different computational chemistry tools and ML models
Partner with machine learning engineers and computational chemists to develop and productionize new computational methods for molecular property prediction
Scale our data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs
A deep thinker who reasons from first principles, balances attention to detail...
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