Pre-Doctoral Fellow, Radiation Oncology

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 Research Fellow in Artificial Intelligence

The Predoctoral Research Fellow conducts research in the area of applied Artificial Intelligence/Deep Learning to develop and evaluate algorithms leveraging clinical data (e.g. imaging, electronic health record, pathology, genomics) for several medical fields, including oncology and cardiology. Projects may include the application of deep learning methods to tumor phenotype on serial medical imaging 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 could include automated segmentation for radiation therapy and implementation of existing algorithms into the clinic. The Fellow is a member of the team at the Mass General Brigham (MGB) Artificial Intelligence in Medicine (AIM) program (aim.hms.harvard.edu) 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, the Fellow carries out and designs highly sophisticated and independent experiments. The Fellow is allowed to and encouraged to publish the results of their research or scholarship and receive credit for such during the appointment period. The Fellow receives training, professional development, and mentorship during the appointment period. The appointment is time-limited and should be for a term of no longer than 5 years.


Duties & Responsibilities:

1. Working alongside the team in the Artificial Intelligence in Medicine (AIM) Program, develop AI methods specific for clinical tasks, including but not limited to oncology and imaging.
2. Participate in research and development projects under supervision and direction of the Principal Investigator.
3. Develop analysis plans for the defined projects with support from the scientists within AIM.
4. Evaluate the performance of AI technologies in independent validation cohorts.
5. Present results at national and international conferences.
6. Publish results in peer-reviewed manuscripts.

 

Education
Bachelor's Degree Related Field of Study required.

Master’s degree in Data Sciences, Computer Science, Physics, or related field preferred.

Concurrent enrollment in an established PhD program.

Can this role accept experience in lieu of a degree? No

Experience
Preferably 1-2 years of experience with Artificial Intelligence/Deep Learning techniques and analyses, with a track record of scholarship in these fields.

Demonstrated interest in the application of computational techniques to medical imaging.

Knowledge, Skills and Abilities
- 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.

Working Conditions

The Fellow will work in a laboratory space dedicated to the AIM program with additional potential to establish successful project-specific collaborations in a variety of directions.

 

 

Onsite

 

221 Longwood Avenue

 

40

 

Regular

 

Day (United States of America)

 

Pay Range

$41,932.80 - $60,340.80/Annual

 

Grade

5

 

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 take into account your skills, relevant experience if applicable, education, certifications and other essential factors. The base pay information provided offers an estimate based on the minimum job qualifications; however, it does not encompass all elements contributing to 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 Talent Acquisition team will provide an overview of your potential compensation and benefits package.

 

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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