Pre-Doctoral Fellow, Radiation Oncology

Mass General Brigham•Boston, MA

1d•Hybrid

About The Position

The Predoctoral Research Fellow conducts research in biomechanical modeling for radiation oncology, developing, validating, and applying computational tools that may inform radiation treatment planning. Projects include developing biomechanical tools for radiation oncology and validating open-source, commercially available, and prototype modeling technologies. The Fellow also uses large language models and other AI tools to complement biomechanical and digital twin modeling, performs retrospective data extraction and statistical analysis, and conducts 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 appointment includes training, professional development, mentorship, and the opportunity and encouragement to publish research results and receive credit for the work. The Fellow works in laboratory space provided by the Department of Radiation Oncology at Mass General Brigham, with potential to establish project-specific collaborations. The role is hybrid and has 40 scheduled weekly hours.

Requirements

Bachelor's degree in a related field.
Concurrent enrollment in an established Ph.D. program.
Preferably 1–2 years of experience with biomechanical modeling techniques and analyses, with a track record of scholarship in these fields.
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 or Engineering, Data Sciences, Computer Science, or a related field.
Strong data science or computer science background, with skills and experience in biomechanical modeling, deep learning, and artificial intelligence tools.

Responsibilities

Work with the Department of Radiation Oncology research team to develop novel biomechanical modeling methods for clinical tasks, including oncology and imaging.
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 in 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 carry out counterfactual radiotherapy treatment-planning studies.