Post-Doctoral Position in Data Science/Machine Learner in Medical Imaging

 

Post-Doctoral Position in Data Science/Machine Learner in Medical Imaging—Academic Focus Hours: 40

About MGH/MIT Center for Ultrasound Research & Translation (CURT), on main campus


CURT collaborates closely with scientists at MIT’s Institute for Medical Engineering & Science and works with a variety of hospital departments to target important clinical problems. Our aim is to bring better diagnosis at lower cost to more people by creating technologies that enable in-home and in-community diagnosis. We are academic scientists, but our work is intended to reach the clinic, and our foremost goal is to have a positive impact on human health. This is a unique opportunity to go beyond “posters at conferences,” and to work in a group that actively wants to move your work products into clinical care, and has the translational research expertise to do so.

Responsibilities:

The successful candidate will be expected to pro-actively develop his/her research interests. We are interested in people who work well with others, who show initiative and creativity, and who will work effectively to move toward shared goals. Candidates who seek a long-term academic career will have tremendous opportunities to grow, access to committed mentors who will assist with defining an early career trajectory, and mentored opportunities to apply for grants to support academic career development. We have active collaborations with MIT and Harvard colleagues, and there will be many opportunities for co-supervision and mentorship from MIT and Harvard scientists working at or in close collaboration with MGH physicians and scientists.

Specifically the applicant will:

  • Work collaboratively with a highly motivated and collegial team of physicians, clinical researchers, computer

    scientists, and engineers to solve important medical problems in a world-class research facility.

  • Have access to a vast amount of high quality medical imaging and pathologic data.

  • Have access to advanced computing facilities, a friendly environment, and an unparalleled community of basic

    and clinical scientists.

  • Gain a deep understanding of key problems in medicine, imaging, and especially medical ultrasound, the fastest

    growing area of imaging technology.

Gain knowledge and understanding of important diseases, especially focused on the liver, thyroid, prostate,

kidneys, breast, and cancer.

Requirements:

  • The ideal candidate will have a PhD in Applied Mathematics, Computational Statistics, Computer Science, Bioengineering, Biomedical Engineering, Electrical Engineering or a related discipline.
  • Strong communication skills in written and verbal English are required.
  • Experience with machine learning is required.
  • Proficiency in one or more programming languages, especially C++, MATLAB, Python, R is required.
  • Familiarity with Linux and image analysis skills are highly desired.
  • Demonstrated record of high quality publications is desired.
  • Qualified candidates should be self-motivated and possess the ability to work independently and collaboratively.

To apply:

Applicants should send a cover letter describing research experience, interests and goals, a CV with a full list of publications, and a link to GitHub profile (if available) as well as three references (including one from a current supervisor) to Anthony E. Samir, MD, MPH by email addressed to: esands@partners.org. Interviews will be conducted by a multi-disciplinary team of clinicians and computer scientists. The position is full-time with benefits. The salary is commensurate with experience.

The Massachusetts General Hospital is an Equal Opportunity/Affirmative Action Employer.