Faculty All Ranks, Assistant/Associate/Professor - MRI Scientist - Center for Advanced Diagnostic Research (CADRe)

The Department of Radiology at the Columbia University Vagelos College of Physicians and Surgeons invites applications for a faculty position as MRI Scientist within the Center for Advanced Diagnostic Research (CADRe). This position is open at all academic ranks, with the potential for a tenure-track appointment depending on the candidate's qualifications and career trajectory. This role is designed for a PhD-level scientist with expertise in magnetic resonance imaging who will contribute to and expand CADRe's mission through collaborative leadership in MRI sequence development, optimization, selection, and clinical-translational research. The MRI Scientist will work closely with radiologists, engineers, physicists, and clinical investigators to advance innovative MRI methodologies and their application in human studies. Salary and academic rank will be commensurate with experience and qualifications. Columbia University offers a highly competitive benefits package.

Program Highlights

CADRe is a multidisciplinary research center within Columbia Radiology focused on advancing imaging science, data-driven methodologies, and translational innovation. The center supports a broad portfolio of research spanning MRI physics, pulse sequence development, quantitative imaging, image reconstruction, AI-enabled analysis, and clinical validation. Columbia Radiology provides access to state-of-the-art MRI infrastructure across multiple clinical and research platforms, supporting close integration between technical development and clinical investigation at NewYork-Presbyterian Hospital and across CUIMC.

Responsibilities -The MRI Scientist will be expected to:

• Develop and sustain an independent and/or collaborative research program in MRI science, quantitative imaging, or related translational methodologies.
• Provide scientific leadership in collaborative settings for MRI pulse sequence development, optimization, and selection in support of research and clinical studies within CADRe.
• Partner with radiologists, clinicians, engineers, and medical physicists to design and implement human MRI research protocols, including early-phase and proof-of-concept studies.
• Contribute to the advancement of novel MRI techniques, including quantitative MRI, advanced contrasts, accelerated imaging, and multimodal integration.
• Support the translation of MRI innovations from technical development to clinical and population-based research applications.
• Collaborate with CADRe investigators on grant development, including multiinvestigator and center-level proposals.
• Publish high-impact, peer-reviewed research and present findings at national and international scientific meetings.
• Participate in teaching and mentoring of graduate students, postdoctoral fellows, residents, and junior faculty.
• Contribute to departmental and institutional research initiatives, working in close coordination with CADRe leadership

• PhD in Biomedical Engineering, Medical Physics, Electrical Engineering, Physics, or a closely related field. * Demonstrated expertise in MRI physics, pulse sequence development, or quantitative MRI methods.
• Strong record of peer-reviewed publications.
• Experience conducting or supporting human MRI research.
• Ability to work effectively in a highly collaborative, multidisciplinary academic environment.

Preferred

• Experience with clinical-translational MRI studies and protocol development.
• Familiarity with MRI reconstruction techniques, image analysis, or data science approaches.
• Track record of extramural research funding or participation in funded collaborative projects.
• Experience working in a large academic medical center or research-intensive institution.

Columbia University is an Equal Opportunity Employer / Disability / Veteran

Pay Transparency Disclosure

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 University's good faith and reasonable estimate of the range of possible compensation at the time of posting.