Tech Stack
Job Description, Responsibilities & Requirements
About the Position
The Department of Biomedical Informatics (DBMI) at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Fellow with experience in machine learning and scientific programming. The candidate will work with a multi-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology.
Digital pathology images contain rich information on complex diseases. The goal of our efforts is to build and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics (e.g., genomics, epigenomics, transcriptomics, and proteomics) information.
Responsibilities
- Develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data
- Collaborate with our multi-disciplinary team
- Publish the findings
Requirements
- A Ph.D. in Biomedical Informatics, Computational Biology, Computer Science, or a related field
- Substantial experience in machine learning, Python and R programming
- Familiarity with deep learning packages (e.g., TensorFlow, Keras, or PyTorch)
- Strong problem-solving and communication skills
Start date
This position is available immediately and can be renewed annually.
How to Apply
Please send your curriculum vitae, two representative papers, and the names and contact information of three references to Kun-Hsing Yu, MD, PhD ([email protected]).
About the Company
Kun-Hsing Yu, MD, PhD
- Associate Professor of Biomedical Informatics, Harvard Medical School
- Assistant Professor of Pathology, Brigham and Women's Hospital
- Instructor in Epidemiology, Harvard T.H. Chan School of Public Health
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