We are building a multidisciplinary team at the intersection of artificial intelligence, oncology, dermatology, and computational biology. Join us at a pivotal moment — with access to unique large-scale datasets, direct collaboration with MGH and the Broad Institute, and the opportunity to lead field-defining, first-author publications.
One of the largest melanoma + irAE registries globally, with linked clinical, imaging, genomic, and pathology data
Track record of mentored first-author publications in Nature Medicine, Lancet Oncology, JAAD, and JAMA Dermatology
Tailored guidance for academic faculty, physician-scientist, or industry career tracks
Direct access to MGH, Dana-Farber/HCC, Broad Institute, and Harvard Data Science Initiative
We are seeking a postdoctoral fellow with a strong background in machine learning, computer vision, or computational biology to advance our AI in dermatology and digital pathology pipeline for melanoma prognosis. This position involves working with foundation models (Virchow2), whole-slide image analysis, and multimodal data integration across clinical and genomic datasets in cutaneous oncology.
We welcome medical students and recent graduates interested in gaining hands-on research experience in clinical informatics in melanoma, AI in skin disease, and oncodermatology. Fellows contribute to ongoing projects in AI in melanoma prognosis, irAE surveillance, immune-mediated skin disease, and clinical trials in oncodermatology. Prior research experience and interest in academic medicine are preferred.
We collaborate closely with students in the Harvard Department of Biomedical Informatics (HMS DBMI). If you are admitted to or enrolled in the HMS DBMI program and are interested in dermatology AI, melanoma ML, or clinical NLP, please reach out to discuss potential research projects and thesis opportunities.
I am always excited to meet people who are passionate about applying rigorous science — AI in dermatology, clinical informatics in melanoma, or cutaneous oncology — to improve outcomes for patients with skin cancer, immune-mediated skin disease, and inflammatory skin conditions from cancer therapy.
To apply, send an email to ysemenov<at>mgh.harvard.edu with the subject line "[Position] Application — [Your Name]" and include:
