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.

Our organization, Microsoft Health Futures, is an interdisciplinary team of scientists, engineers, and physicians. Come join a unique vibrant environment that features cutting-edge academic research, enterprise software development, and real-world delivery, with close feedback loops and rapid iterations among all three. 

The discovery and/or synthesis of new therapeutics remains a key challenge for improving human health, and computation and machine learning/AI are playing an increasingly important role therein. Many of the necessary ingredients are available -- massive scale genomic biobanks, curated resources cataloging well established variant-gene-disease-phenotype relationships, large corpora of biomedical literature detailing decades of clinical and biomedical inquiry -- yet the tasks of dynamically integrating the information from these resources and effectively reasoning on them remain at an early stage. 

Bioinformatics, biomedical natural language processing (NLP), and generative AI can play key roles in this transformation by discerning knowledge from data and separating signal from noise. We are looking for a Research Intern with experience working with biological data to investigate scientific questions and a research background in computational biology, bioinformatics, and/or biomedical NLP. We are open to candidates in all computational aspects of this work, including genomic foundation models, generative chemistry/biology, pathway analysis, molecular interaction modeling, variant effect prediction, variant interpretation, decision support, functional genomics, information retrieval, language modeling, and knowledge graphs. We are seeking curious, self-motivated individuals who want to be involved at every stage in the process, from problem formulation to data exploration to model development to analysis and presentation.