Harvard University
HMS - Postdoctoral Fellow in Biomedical Informatics (DBMI)
Harvard University, Boston, Massachusetts, us, 02298
Postdoctoral Fellow in Biomedical Informatics (DBMI)
The Department of Biomedical Informatics at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi-disciplinary team of researchers 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 information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with our multidisciplinary team, and publish the findings. This position is salaried and benefits-eligible. Information regarding postdoctoral fellow salary and benefits can be found at https://postdoc.hms.harvard.edu/guidelines. Basic Qualifications: A Ph.D. in a Biomedical Informatics, Computational Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages are essential. Additional Qualifications:
Strong problem-solving and communication skills are highly desirable for this opportunity. Special Instructions: Statement of Research for PhD work Cover Letter describing your interest in the lab and initial ideas for new research directions or projects you could undertake in the lab. Note with names and contact information for three people who have agreed to serve as your reference Please send your curriculum vitae, two representative papers, and the names and contact information of three references to Kun-Hsing Yu, MD, PhD. Expected Dates: Start date: This position is available immediately Duration: This position has strong potential to be renewed on an annual basis. Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives.
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The Department of Biomedical Informatics at Harvard Medical School and the Yu Lab are seeking a Postdoctoral Research Fellow with experience in machine learning and scientific programming. The candidate will work with a multi-disciplinary team of researchers 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 information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with our multidisciplinary team, and publish the findings. This position is salaried and benefits-eligible. Information regarding postdoctoral fellow salary and benefits can be found at https://postdoc.hms.harvard.edu/guidelines. Basic Qualifications: A Ph.D. in a Biomedical Informatics, Computational Biology, Computer Science, or a related field is required. Substantial experience in machine learning, Python and R programming, and familiarity with deep learning packages are essential. Additional Qualifications:
Strong problem-solving and communication skills are highly desirable for this opportunity. Special Instructions: Statement of Research for PhD work Cover Letter describing your interest in the lab and initial ideas for new research directions or projects you could undertake in the lab. Note with names and contact information for three people who have agreed to serve as your reference Please send your curriculum vitae, two representative papers, and the names and contact information of three references to Kun-Hsing Yu, MD, PhD. Expected Dates: Start date: This position is available immediately Duration: This position has strong potential to be renewed on an annual basis. Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives.
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