Atomwise (YC W15) | San Francisco | Full time, ONSITE | Deep Learning, Computational Chemistry<p>Atomwise uses deep neural networks to help discover new medicines. Our customers are top researchers at institutions such as Merck and the Dana Farber Cancer Institute (see <a href="http:&#x2F;&#x2F;www.atomwise.com&#x2F;clients&#x2F;" rel="nofollow">http:&#x2F;&#x2F;www.atomwise.com&#x2F;clients&#x2F;</a>). We&#x27;re backed by science-heavy VCs, including Data Collective, Khosla Ventures, and DFJ. Our work tackles some of the biggest problems of our time: cancer, multiple sclerosis, malaria, ebola, and antibiotics for drug-resistant bugs. We’ve already shown that modern machine learning can set a new bar for predictive accuracy in structure-based drug design, and we want your help in pushing that accuracy even further.<p>We’re looking both for people with machine learning expertise, and for people with computational biology&#x2F;chemistry expertise. If you’ve got both, all the better! Please see our full job descriptions here: <a href="http:&#x2F;&#x2F;www.atomwise.com&#x2F;careers&#x2F;" rel="nofollow">http:&#x2F;&#x2F;www.atomwise.com&#x2F;careers&#x2F;</a>