Pre-Doctoral Fellow

About the role

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.

What you'll work on

• Applied Artificial Intelligence/Deep Learning to develop automated segmentation and planning algorithms for radiation therapy and implementation of existing algorithms into the clinic
• 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
• Application of vision-language models and LLMs to synthesize data from the electronic medical record

What you'll do

• 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
• 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 carry out and design highly sophisticated and independent experiments
• 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

Qualifications

• Doctoral degree in Data Sciences, Computer Science, Physics or related field
• 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

Pay

$37,440 to $68,640 annually.

Schedule

This is a 3-4-year position. The Fellow works under the supervision of a Faculty Mentor and is expected to complete and defend their PhD thesis at the completion of their fellowship. The appointment is time limited, and should be for a term of no longer than 3 years.

Work location

Onsite at 221 Longwood Avenue, Boston, MA.

How to apply

Please email your resume to Raymond Mak, rmak@mgb.org.