You will
- 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 data infrastructure to handle billions of datapoints and thousands of parallel deep learning and molecular dynamics jobs
You are
- 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
What we offer
- 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 of intellectual curiosity and humility. The team reads and discusses 1-2 machine learning or chemistry papers every week to stay on top of the field and inspire new ideas
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What We Do
Genesis Therapeutics is unifying AI and biotech to accelerate and optimize drug discovery.
We pioneer novel deep learning and molecular simulation techniques to accelerate the development of new medicines.
Genesis raised its $52M Series A from top tech + biotech investors, Andreessen Horowitz, Rock Springs, and T. Rowe Price.
Story: https://techcrunch.com/2020/12/02/genesis-therapeutics-raises-52m-a-round-for-its-ai-focused-drug-discovery-mission/
We deploy our technology to accelerate a pipeline of several internal drug programs.
Furthermore, Genesis has announced two significant, multi-target collaborations with Genentech and with Eli Lilly, the latter of which entailed a $20M upfront payment with a $670M total deal size.
Now we are scaling the team and technology to support many more programs in parallel as well as increasingly difficult protein targets.
We currently have a team (genesistherapeutics.ai/company.html#team) of about 35 people, split 50/50 between our ML / software team and our biochem team of veteran drug hunters in our own wetlab space. Our ML + software engineers are top-notch -- many graduates from MIT, UC Berkeley, Stanford. Previously worked at OpenAI, Google, Facebook, MemSQL, Jane Street, Dropbox, etc.
We're recruiting pure ML research scientists + software engineers (no bio or chem experience expected) to further our core AI platform as well as scale our drug pipeline.
Likewise, we have several openings in chemistry and biology to join our team of biotech + pharma veterans who are deploying the Genesis ML platform to discover novel drug candidates.
Please apply on our website, or feel free to reach out via email directly: [email protected]







