Pre-Doctoral Fellow

Mass General Brigham•Boston, MA

11d•Onsite

About The Position

The Brigham Health Artificial Intelligence in Medicine (AIM) program and Harvard Medical School in Boston, MA is seeking a pre-doctoral researcher for a 3-4 year position. The researcher will apply computational techniques to medical imaging, focusing on developing automated segmentation and planning algorithms for radiation therapy and implementing existing algorithms into the clinic. Additional work will involve imaging-based risk prediction and response assessment tools in cancer, including applying deep learning methods to tumor phenotype on serial medical imaging, patient photographs, and patient-specific characteristics. Projects also include applying vision-language models and LLMs to synthesize data from the electronic medical record. The researcher will join 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. The role is expected to lead to peer-reviewed publications and presentations at international meetings. The candidate will be enrolled in the Maastricht University PhD program and is expected to complete and defend their PhD thesis. The Fellow will receive training, professional development, and mentorship.

Requirements

At least 1-2 years of experience in Deep Learning and Artificial Intelligence.
Doctoral degree in Data Sciences, Computer Science, Physics or related field.
Experience with Artificial Intelligence/Deep Learning techniques and analyses.
Track record of scholarship in these fields.
Strong data science/computer science background with skills and experience in deep learning.
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.

Nice To Haves

Interest in the application of computational techniques to medical imaging.

Responsibilities

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.
Under the supervision of the Principal Investigator, independently carries out and designs highly sophisticated and independent experiments.
Conduct research leading to peer-reviewed publications and presentations at international meetings with guidance from our faculty.