HMS - Postdoctoral Fellow in Biomedical Informatics; DBMI

HMS
- Postdoctoral Fellow in Biomedical Informatics (DBMI)

The Department of Biomedical Informatics (DBMI) 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, 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. 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, which is determined by the number of years post-PhD, and benefits can be found at . With this appointment, you are represented by the Harvard Academic Workers (HAW) –UAWfor purposes of collective bargaining and matters affecting your compensation and working conditions.

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 (e.g., Tensor Flow, Keras, or PyTorch) are essential. Strong problem-solving and communication skills are highly desirable for this opportunity.

Required documents:
Curriculum Vitae, 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.

(kun-vard.edu)

Expected dates:

Start date:

This position is available immediately. Duration:
This position has strong potential to be renewed on an annual basis.

Contact Information
- Faith McDonald Countway Library 695 Huntington Ave. Boston, MA 02115 Contact Email - vard.edu