Postdoctoral Research Fellow in Applied Data Science and Machine Learning for Microbiology

The Feres Lab at Harvard School of Dental Medicine seeks a Postdoctoral Research Fellow to work at the intersection of applied data science, machine learning, and microbiology. The role involves harmonizing clinical, demographic, microbiome, and immunological data; developing machine learning models for clustering and treatment effect estimation; and drafting manuscripts for publication. The position offers mentored training toward an independent academic career, including opportunities for first-author publications, presentations at national and international meetings, and access to Harvard’s high-performance computing cluster. Candidates should have a PhD in data science, computer science, biomedical informatics, or a related field, with proficiency in Python and R. Experience with microbiome or immunological data, Git, SQL, and high-performance computing is preferred.