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important problems in biology and medicine. We seek outstanding researchers with training in AI/machine learning, computer science, statistics, mathematics, physics, or related quantitative fields
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computational biomedicine. We seek outstanding researchers with training in AI/machine learning, computer science, statistics, mathematics, physics, or related quantitative fields who aim to develop innovative
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will have demonstrated excellence in using modern empirical methods—including econometrics, experimental and quasi-experimental techniques, and/or machine learning approaches for prediction and causal
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with machine learning, natural language processing, or AI methods applied to health data. • Demonstrated expertise in one or more of the following areas: digital health, health AI, health informatics
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• Experience with additional methods of policy evaluation, e.g., machine learning, text analysis, mixed methods, qualitative research • Experience producing public-facing research summaries for non
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learning and computational methods for working with unstructured data) are particularly encouraged. Application Requirements Document requirements Curriculum Vitae - Your most recently updated C.V. Cover
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learning opportunities and networking events. In addition to scientific mentorship, each participant will be paired with business advisors who can provide guidance on scientific and business practices
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Carbon neutral economy Microbiome research Therapeutic delivery technology. The Assistant Project Scientists will engage in a variety of exciting learning opportunities and networking events. In