Pathology Image Analysis Postdoctoral Position

Tuesday 25th June 2019

Harvard Medical School

We seek applications for exceptional postdoctoral research fellows with an interest in developing deep learning and machine learning methods for pathology image analysis. Postdoctoral applicants should have a Ph.D. in computer science, statistics, computational biology, or other highly quantitative field, a solid publication record and strong professional references. The ideal candidate should have a significant mathematical background, to learn and develop new AI methods. Demonstrated experience in computer vision or analysis of pathology or other biomedical imaging data types is desirable. However, applicants with strong machine learning or related backgrounds interested in transitioning into biomedical data science are highly encouraged to apply. Applicants with prior post-doctoral experience are not eligible for the position. The initial appointment will be for one year with annual renewals based on performance.

Environment and Opportunities

The newly established Mahmood Lab (www.mahmoodlab.org) aims to utilize machine learning, data fusion, and medical image analysis to develop streamlined workflows for cancer diagnosis, prognosis, and biomarker discovery. We are interested in developing automated and objective mechanisms for reducing interobserver and intraobserver variability in cancer diagnosis using artificial intelligence as an assistive tool for pathologists. The lab also focuses on the development of new algorithms and methods to identify clinically relevant morphologic phenotypes and biomarkers associated with response to specific therapeutic agents. We develop multimodal fusion algorithms for combining information from multiple imaging modalities, familial and patient histories and multi-omics data to make more precise diagnostic, prognostic and therapeutic determinations.

The Mahmood Lab is located in the Division of Computational Pathology at the Brigham and Women’s Hospital (BWH), a Harvard Medical School teaching hospital, which is the second largest non-university recipient of NIH research funding. The broad mandate of the Division of Computational Pathology is to develop and apply advanced computational methods for furthering the understanding, diagnosis and treatment of human diseases. The Division is situated within the BWH Department of Pathology, which houses over 40+ established investigators, 50+ postdoctoral research fellows, and 100+ research support staff. In addition, BWH is part of the greater Longwood Medical Area in Boston, a rich, stimulating environment conducive to intellectual development and research collaborations, which includes Harvard School of Public Health, Boston Children’s Hospital and the Dana Farber Cancer Institute.

Applications Process

Qualified applicants should submit: (1) research statement (not to exceed 2 pages); (2) curriculum vitae; (3) two most relevant publications; (4) names and contact information of three individuals who can serve as references to: Faisal Mahmood, faisalmahmood@bwh.harvard.edu

Qualified applicants will be invited for an in-person interview in August.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.

Organization

Harvard Medical School

Location

Boston, MA

Title

Pathology Image Analysis Postdoctoral Fellow

URL

www.mahmoodlab.org