Our team is building a suite of machine learning tools to help solve problems in the life science space. This includes the classification of researchers and physicians to their scholarly research, predicting the altruistic activities of donors to non-for-profit foundations, and much more.
We’re working with technologies like Python, Scala, Spark, Docker, Elasticsearch, Kubernetes, Terraform and we’re experimenting with many more. Our data science group is math-focused and loves deep learning, Bayesian modeling, but also good old-fashioned regression.
If creating foundational infrastructure in data science using the latest tools and techniques sounds appealing to you, then shoot over an email and let’s talk!
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