Predoctoral AI Researcher for Cancer Imaging

Mass General Brigham; Boston (MA); On-site; USD 37,000 - 69,000; Full time

Job summary

Mass General Brigham's Brigham Health AIM program in Boston invites a predoctoral researcher to apply for a 3–4 year fellowship focused on applied AI and deep learning for cancer care. The position involves developing automated segmentation and planning algorithms for radiation therapy and integrating methods into the clinic, with imaging-based risk and outcome tools.

The ideal candidate has 1–2 years in deep learning, with a PhD underway and a track record of scholarly publication.

Qualifications

• PhD in Data Sciences, Computer Science, Physics or related field.
• Experience with Artificial Intelligence/Deep Learning techniques.
• Track record of scholarly publications.
• Ability to work independently in a clinical-translational setting.

Responsibilities

• Independently design and conduct advanced experiments.
• Develop AI methods for oncology and oncologic imaging.
• Publish results in peer‑reviewed manuscripts.
• Collaborate with the AIM program and radiation oncology team; present at conferences.

Skills

Data science background

Deep learning

Research design

Analytical skills

Statistical analysis

Time management

Written and verbal communication

Education

Doctoral degree in Data Sciences/Computer Science/Physics or related field

Job description

Mass General Brigham's Brigham Health AIM program in Boston invites a predoctoral researcher to apply for a 3–4 year fellowship focused on applied AI and deep learning for cancer care. The position involves developing automated segmentation and planning algorithms for radiation therapy and integrating methods into the clinic, with imaging-based risk and outcome tools.

The ideal candidate has 1–2 years in deep learning, with a PhD underway and a track record of scholarly publication.