Redmond, Washington, USA
1 day ago
Research Intern - ML and Computational Biology for the Immune System

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.

Microsoft Health Futures is an interdisciplinary team of scientists, engineers, and medical professionals working at the forefront of academic research, enterprise software development, and real-world healthcare delivery. Our team combines rigorous research with rapid software iterations and impactful deployments, all within a dynamic, startup-like environment. 

 

The human immune system is an extraordinary diagnostic network, continually adapting to detect and fight disease. This adaptability results in widely varied immune responses, shaped by factors like disease complexity (e.g., infectious and auto-immune diseases and cancer) and genetics. Given this variability and the immune system’s central role in health, developing sophisticated models of immune function is essential to advancing precision medicine. 

 

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 T cell activation. We believe that both cutting-edge machine learning and domain expertise are crucial to driving meaningful progress. 

 

We invite applications for a Research Internship focused on unraveling the complexities of the human immune system. For full consideration, please submit your application by January 17, 2025. Note: Reference letters are not required, despite any language in the qualifications section. 

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