Postdoctoral Research Scientist - Ai/ml In Medical Imaging And Adaptive Radiotherapy

Company: Columbia University Irving Medical Center

Location: New York, NY

Posted on: May 27

The Department of Radiation Oncology of Columbia University Irving Medical Center is inviting applications for a Postdoctoral Research Scientist position focusing on developing scalable machine learning/deep learning approaches with applications in multi-modality medical imaging and adaptive radiotherapy. The successful candidate will join a dynamic interdisciplinary team comprising data scientists clinicians, and medical physicists, with unique opportunities to leverage machine learning for both scientific discovery and meaningful clinical impact.

Responsibilities:

• Develop novel scalable machine learning algorithms for image-guided radiation therapy, outcome prediction, and decision-making using multimodal healthcare data.
• Work under the supervision of the principal investigator and collaborate with other researchers, medical physicists, clinicians, postdoc fellows, and students to discuss, develop and implement research agenda
• Write, debug and maintain high-quality research code, and help deploy research results (if applicable) in clinical environment
• Present work at scientific conferences and publish high qualify papers

Qualifications:

• Ph.D. or equivalent doctoral degree in Medical Physics, Physics, Biomedical Engineering, Electrical Engineering, Computer Science or other quantitative science-related fields.
• Strong programming skills, particularly in python, Matlab, C++, CUDA or C#; Expertise with deep learning frameworks (Pytorch, Tensorflow, Keres) is highly preferred.
• Familiar with the main deep learning architectures (CNNs, Transformers) and large language models. Experience with reinforcement learning and/or federated learning strongly encouraged.
• Proven background in machine learning, medical imaging, numerical optimization and high-performance computing. Demonstrated experience in deep learning applications for medical image computing (e.g., image reconstruction, enhancement, segmentation, registration, and synthesis), radiomics, multimodal predictive models or automated treatment planning in radiotherapy.
• At least one first-author publication in a related research subject.
• Strong communication skills and excellent scientific writing ability.
• Highly motivated and independent.
• The ability to work under interdisciplinary settings.

The successful candidate will be offered:

• Comprehensive training in machine learning, especially deep learning, to develop and optimize AI-driven solutions in medical imaging and radiation therapy.
• Opportunities to work on some intrinsic challenges in applying AI in medical domain.
• Robust interdisciplinary collaboration with researchers and clinicians across various departments and institutions within Columbia University.
• Competitive salary, excellent health plan and multiple other benefits.
• Visa sponsorship support for qualified international candidates.

Interested applicants should email a cover letter outlining your research interests, current CV and the contact information of 3 references to Yading Yuan, Ph.D. ([email protected]).

Equal Employment Opportunity Statement:

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure:

Hiring Salary Range: $72,116.00 - $72,116.00

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the Universitys good faith and reasonable estimate of the range of possible compensation at the time of posting.