Pre-Doctoral Fellow, Radiation Oncology

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

• 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.
• Participate in research and development projects under supervision and direction of the Principal Investigator.
• 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.

Qualifications

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.