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Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. The Immunomics group within Health Futures is dedicated to this vision. We build large-scale models of immune responses and immune cells, integrating statistical modeling and machine learning (ML) techniques such as representation learning, survival analysis, causal inference and generative modeling, alongside foundational immunological research. Our approach combines statistical modeling and advanced ML techniques with deep biological insights into areas like cancer biology, antigen presentation, an aging immune system and immune cell behavior. We believe that both cutting-edge machine learning and domain expertise are crucial to driving meaningful progress.
Job Responsibility
Research Interns put inquiry and theory into practice
Learn, collaborate, and network for life
Advance their own careers
Contribute to exciting research and development strides
Paired with mentors
Expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community
Requirements
Accepted or currently enrolled in a PhD program in Machine Learning, Statistics, Computer Science, Computational Biology or other related field
Ability to develop original research agendas demonstrated by a publication record as a lead author
Skills analyzing large datasets including but not limited to large-scale learning, experimental design, and statistical modeling
Able to collaborate and communicate across disciplines as part of a cross-functional team
Experience working with complex biological datasets