We welcome motivated researchers at all career stages who want to advance AI-driven precision medicine in dermatology and oncology. If your interests align with our research programs, we'd love to hear from you.
We are seeking a postdoctoral fellow with a strong background in machine learning, computer vision, or computational biology to advance our 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.
We welcome medical students and recent graduates interested in gaining hands-on research experience in clinical informatics, machine learning, and dermatology. Fellows contribute to ongoing projects in melanoma prognosis, irAE surveillance, and LLM-based clinical NLP. 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 to improve outcomes for patients with skin cancer and immune-mediated disease.
To apply, send an email to ysemenov<at>mgh.harvard.edu with the subject line "[Position] Application — [Your Name]" and include: