Pre-Doctoral Fellow, Radiation Oncology

Mass General Brigham•Boston, MA

3d•$41,933 - $60,341•Hybrid

About The Position

The Predoctoral Research Fellow conducts research in biomechanical modeling for radiation oncology, developing, validating, and applying computational tools that could eventually inform radiation treatment planning. Projects include developing novel biomechanical tools for radiation oncology applications and validating open-source, commercially available, and prototype biomechanical modeling tools. The Fellow uses large language models and other AI tools to complement biomechanical and digital twin modeling, and performs retrospective data extraction, statistical analysis, and counterfactual radiotherapy treatment-planning studies. As a member of the Mass General Brigham Radiation Oncology research team, the Fellow is expected to conduct research leading to peer-reviewed publications and presentations at national and international meetings, with faculty guidance. Under the supervision of Kamal Singhrao, Ph.D., DABR, the Fellow designs and carries out sophisticated, independent experiments. The Fellow is encouraged to publish research results and receive credit for their scholarship during the appointment, and receives training, professional development, and mentorship. The Fellow works in laboratory space provided by the Department of Radiation Oncology at Mass General Brigham, with the potential to establish project-specific collaborations. The role is hybrid, scheduled for 40 hours per week, and has a day shift. The annual pay range is $41,932.80–$60,340.80.

Requirements

Bachelor's degree in a related field.
Concurrent enrollment in an established PhD program.
Demonstrated interest in applying computational techniques to medical imaging.
Strong research design and analytical skills.
Strong database statistical skills.
In-depth knowledge of the research field.
Excellent time-management and organizational skills.
Strong written and verbal presentation skills.

Nice To Haves

Master’s degree in Physics (Pure or Applied), Biomedical Physics/Engineering, Data Sciences, Computer Science, or a related field.
Preferably 1–2 years of experience with biomechanical modeling techniques and analyses, with a track record of scholarship in these fields.
Strong data science/computer science background, with skills and experience in biomechanical modeling, deep learning, and artificial intelligence tools.

Responsibilities

Develop novel biomechanical modeling methods for clinical tasks, including oncology and imaging, alongside the Department of Radiation Oncology research team.
Participate in research and development projects under the supervision and direction of Dr. Kamal Singhrao, Ph.D., DABR.
Develop analysis plans for defined projects with support from clinicians and medical physicists in the Department of Radiation Oncology.
Evaluate in-house, commercially available, and vendor-supplied biomechanical modeling technologies using independent validation cohorts.
Present research results at national and international conferences.
Publish research results in peer-reviewed manuscripts.
Conduct retrospective data extraction and statistical analysis, and perform counterfactual radiotherapy treatment-planning studies.