Pre-Doctoral Fellow: AI Deep Learning for Cancer Imaging

Brigham and Women's Hospital, Inc.; Boston (MA); On-site; USD 37,000 - 69,000; Full time

Job summary

The Brigham Health Artificial Intelligence in Medicine (AIM) program at Harvard Medical School in Boston, MA invites a pre-doctoral researcher to develop automated segmentation and planning algorithms for radiation therapy, and to apply deep learning to tumor phenotypes and imaging data.

Join a collaborative team led by renowned faculty; the appointment is time-limited for a 3–4 year fellowship with publication and conference presentation expectations.

Qualifications

• PHD enrollment with a Master’s in Data Sciences, CS, Physics or related field; experience with AI/Deep Learning preferred.
• Strong data science/CS background with deep learning experience.
• Excellent time management and organizational skills.

Responsibilities

• Develop AI methods for clinical tasks including oncology imaging.
• Participate in research projects under supervision of Raymond Mak, MD and Hugo Aerts, PhD.
• Publish results in peer‑reviewed manuscripts and present at conferences.

Skills

AI methods for clinical tasks

Team collaboration

Research planning

Evaluation of AI in cohorts

Presentation at conferences

Publish results

Education

Master's degree in Data Sciences/CS/Physics

PhD enrollment

Job description

The Brigham Health Artificial Intelligence in Medicine (AIM) program at Harvard Medical School in Boston, MA invites a pre-doctoral researcher to develop automated segmentation and planning algorithms for radiation therapy, and to apply deep learning to tumor phenotypes and imaging data.

Join a collaborative team led by renowned faculty; the appointment is time-limited for a 3–4 year fellowship with publication and conference presentation expectations.