Machine Learning Scientist (All levels)

Founded in 2015, Deep Genomics is a drug development company that aims to revolutionize medicine by leveraging expertise in artificial intelligence (AI) and genome biology. We have built the world’s first, and by far the most advanced, AI platform that is able to untangle the enormous complexity of RNA biology and find the best targets, mechanisms, and molecules.

The thesis here at Deep Genomics is that everyone, at some point in their life, will face a genetic condition, whether Mendelian or complex, and we aim to be there for them with a genetically precise therapy. We take immense pride in our team of people whose backgrounds span a diverse range of disciplines including those found in a traditional biotechnology company, as well as machine learning, laboratory automation, and software engineering.

We are seeking a creative and experienced machine learning scientist to decipher how mutations and genetic medicines influence the molecular world of the cell. The successful candidate will develop machine learning approaches for modeling complex RNA- and protein-level outcomes based on massively parallel assays. The ideal candidate has a proven track record of publishing at top machine learning conferences (NeurIPS, ICML, ICLR) or has applied deep learning to genomics in a top life sciences journal.

Deep Genomics thanks all applicants, however only those selected for an interview will be contacted.

Deep Genomics welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.