Pre-Doctoral Fellow

Site: The Brigham and Women's Hospital, Inc.

 

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

 

Job Summary

Predoctoral Researcher in Deep Learning for Cancer Care
The Brigham Health Artificial Intelligence in Medicine (AIM) program and Harvard Medical School in Boston, MA is seeking a pre-doctoral researcher. Applicants with an interest in the application of computational techniques to medical imaging and at least 1-2 years of experience in Deep Learning and Artificial Intelligence are encouraged to apply.

This is a 3-4-year position. The work conducted by the researcher will be in the area of applied Artificial Intelligence/ Deep Learning to develop automated segmentation and planning algorithms for radiation therapy and implementation of existing algorithms into the clinic. Additional work will include imaging-based risk prediction and response assessment tools in cancer including application of deep learning methods to tumor phenotype on serial medical imaging, patient photographs (e.g. facial health recognition algorithms) and patient-specific characteristics such as identifying imaging phenotype of co-morbid illnesses (e.g. lung and cardiac disease) and treatment side effects. Additional projects include application of vision-language models and LLMs to synthesize data from the electronic medical record. The applicant will join the team at the Mass General Brigham AIM program led by Dr. Hugo Aerts and a group of clinical-translational oncologists led by Dr. Raymond Mak in the Department of Radiation Oncology, and is expected to conduct research leading to peer-reviewed publications and presentations at international meetings with guidance from our faculty.

Under the supervision of the Principal Investigator, independently carries out and designs highly sophisticated and independent experiments. The candidate will be enrolled through our lab in the Maastricht University PhD program and is expected to complete and defend their PhD thesis at the completion of their fellowship. The Fellow works under the supervision of a Faculty Mentor in the institution, and is allowed to and encouraged to publish the results of his or her research or scholarship and receive credit for such during the appointment period. The Fellow will receive training, professional development and mentorship during the appointment period. The appointment is time limited, and should be for a term of no longer than 3 years. The Fellow will work in a laboratory space dedicated to a Principal Investigator with additional potential to establish successful project-specific collaborations in a variety-of directions.
Please email your resume to Raymond Mak, rmak@mgb.org .

 

Working alongside the team at the Artificial Intelligence in Medicine (AIM) Program, the researcher will develop AI methods specific for clinical tasks including but not limited to oncology and oncologic imaging. Participate in research and development projects under supervision and direction of Raymond Mak, MD (Director, Clinical Innovation for Radiation Oncology) and Hugo Aerts, PhD (Director, AIM) Develop analysis plans for the defined projects with support from the scientists within AIM.

Evaluate the performance of AI technologies in independent validation cohorts. Present results at national and international conferences. Publish results in peer-reviewed manuscripts.

The salary range for this position is $37,440 to $68,640 annually.

At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will consider your skills, relevant experience, if applicable, education, certifications, and other essential factors. The base pay information provided is an estimate based on the minimum job qualifications; however, it does not include all elements of your total compensation package.

 In addition to competitive base pay, we offer comprehensive benefits, career advancement opportunities, differentials, premiums, and bonuses as applicable, and recognition programs designed to celebrate your contributions and support your professional growth. We invite you to apply, and our team will provide an overview of your potential compensation and benefits package.

 

Applicants should have a doctoral degree in Data Sciences, Computer Science, Physics or related field, and preferably has experience with Artificial Intelligence/Deep Learning techniques and analyses with a track record of scholarship in these fields.

• Strong data science/computer science background with skills and experience in deep learning preferred.

• Strong research design and analytical skills.

• Strong database statistical skills.

• In-depth knowledge of field of research.

• Excellent time management/organizational skills.

• Strong written and verbal presentation skills

 

Onsite

 

221 Longwood Avenue

 

2200 The Brigham and Women's Hospital, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religious creed, national origin, sex, age, gender identity, disability, sexual orientation, military service, genetic information, and/or other status protected under law. We will ensure that all individuals with a disability are provided a reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. To ensure reasonable accommodation for individuals protected by Section 503 of the Rehabilitation Act of 1973, the Vietnam Veteran’s Readjustment Act of 1974, and Title I of the Americans with Disabilities Act of 1990, applicants who require accommodation in the job application process may contact Human Resources at (857)-282-7642.

 

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