The Massachusetts General Hospital’s Department of Radiology seeks a highly talented, junior faculty scientist/engineer to join our collegial and diverse multidisciplinary research program. Ours is team science with strong member autonomy. Qualified candidates should be self-motivated and possess the ability to work both independently and collaboratively. This is a faculty-track position working in a highly energetic department to translate research into clinical care. Initial appointment as Instructor or Assistant Professor at Harvard Medical School will be commensurate with experience and accomplishments.
The Department of Radiology is a world-renowned research organization that seeks to advance the field of medical imaging. The department employs more than 100 board-certified radiologists specializing in 12 clinical areas supported by hundreds of highly trained technologists and support staff. Over 500 researchers are pioneering advances in medical imaging, and close to 100 trainees are studying to become the next generation of subspecialized radiologists. Operating in several locations across Massachusetts, we perform more than 600,000 exams per year.
The ideal candidate will have a PhD in Applied Mathematics, Computational Statistics, Computer Science, Bioengineering, Biomedical Engineering, Electrical Engineering, or related discipline with 5-7 years of professional work experience and a minimum of 2 to 3 years in progressively more responsible positions.
S/he will have a strong foundation in data science, high-performance computing, and specifically in machine learning techniques in the biomedical imaging domain. The selected candidate will be on a clear career trajectory, that once assisted by committed mentors, will be a candidate for NIH career development grants and faculty promotion.
The successful applicant will:
To apply, please submit a CV and cover letter to Sharada Das at Sdas14@mgh.harvard.edu with “Radiology Faculty Research Position Application” in the subject line.
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.