Location: Boston, MA
Cap-Exempt H-1B Position — No lottery required
Site: The Brigham and Women's Hospital, Inc. Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham. **Job Summary** PLEASE SUBMIT A COVER LETTER WITH YOUR APPLICATION. The Microbiome AI/Deep Learning Lab in the Massachusetts Host-Microbiome Center and Division of Computational Pathology at Brigham and Women’s Hospital/Harvard Medical School is seeking a computational scientist with experience in microbiome bioinformatics and machine learning. You will develop, deploy, and apply microbiome and bioinformatics machine learning approaches, with a special emphasis on deep learning, to a variety of microbiology data sources. Applications will include forecasting microbial population dynamics in the gut, characterizing the impact of spatial structure of the microbiome, predicting impact of the microbiome on host phenotype, tracking infections in human populations, elucidating microbial metabolism, and discovering functions of uncharacterized microbial metabolites and proteins. **Qualifications** Applicants should have a high level of interest in: - A long-term career in an academic medical environment, with the potential for your work to have a direct impact on healthcare outcomes. - Applying new deep learning technologies to biomedical problems. - Advancing knowledge of the microbiome and its role in human health and disease. - Working on an interdisciplinary team and collaborating with computational, wet lab and clinical scientists. - Engaging with the broader research community to advance applications of AI/deep learning for the microbiome. About