Our team is building a suite of machine learning tools to help solve problems in the healthcare and life science space. This includes the classification of researchers and physicians to their scholarly research, simulating how effective drug compounds will be, and much more.
We're growing fast in a field that is also growing fast, so we're looking for people who want to grow fast too. We think an environment that is supportive, collaborative, and sophisticated is the key to making this happen.
Experience and Skills
Our data scientists do these kinds of things:
Find an academic paper which explains a new machine learning concept, and implement it. This involves not only coding the application, but testing against real-world data and potentially making improvements.
All candidates must have a very thorough understanding of linear algebra and statistics. This means understanding various fundamental matrix decompositions and their effects, various statistical distributions and their applications.