**Job Description**
The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow to conduct original research in computational pathology. The role involves working with a multi-disciplinary team, including bioinformaticians, pathologists, oncologists, and computer scientists, to build and apply automated analytical pipelines for diverse pathology data, such as histopathology images and multi-omics information. The postdoctoral fellow will specifically develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with the team, and publish findings.
**Skills & Abilities**
• Substantial experience in machine learning
• Python programming
• R programming
• Familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch)
• Strong problem-solving skills
• Strong communication skills
**Qualifications**
Required Degree(s) in:
• Biomedical Informatics
• Computational Biology
• Computer Science
• A related field
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