Atomwise (YC W15) | San Francisco | Full time, ONSITE | Deep Learning, Computational Chemistry
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=").  We'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.
We’re looking both for people with machine learning expertise, and for people with computational biology/chemistry expertise.  If you’ve got both, all the better!  Please see our full job descriptions here: <a href="
Ask HN: Who is hiring? (August 2015)