Principal Data Scientist
The Healthcare NExT team within Artificial Intelligence and Research is working at the intersection of machine learning and biomedicine. We are a diverse team of engineers, scientists and medical doctors who are working to empower individuals, doctors and providers to improve health outcomes through more intelligent use of more precise data. We are beginning a new moonshot project that will transform medicine, and are building a world-class, cross-institutional team of machine learning experts, software engineers, computational biologists, and immunologists who will make this dream a reality.
We are looking for an applied machine learning data scientist to drive model development. This individual must have extensive experience developing models for new application domains and excel at collaborating with domain experts. As a research position, the successful candidate will be able to follow the data, explore diverse modeling approaches, and excel at communicating results to scientific and research communities.
•M.S. or Ph.D. in Machine Learning, Statistics, or computer science related field
•10+ years of experience in applied machine learning/deep learning
•Publication record or product implementation record that demonstrates ability to build models for novel domains
•Experience working with exceptionally large datasets
•Experience implementing models in python or other relevant languages
•Experience in multiple machine learning approaches
•Experience in working with biological data a plus; willingness to learn a must!
•Experience collaborating with interdisciplinary teams
•Humility and drive to be a "learn-it-all"
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
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