Academic Positions in the PET Center at the Yale School of Medicine (R-2359, R-2361)

Yale University • New Haven, CT

56d • Onsite

About The Position

The PET Center / Radiology Department at the Yale School of Medicine is seeking applications for tenure-track assistant professor positions focused on positron emission tomography (PET) imaging. The successful candidates will be responsible for teaching undergraduate and graduate courses, establishing a research program in collaboration with an interdisciplinary faculty team, and securing research funding. Research activities may involve the development, characterization, and validation of novel PET imaging biomarkers, pharmacokinetic modeling of new radiopharmaceuticals, creating advanced image reconstruction algorithms for quantitative PET and PET/MR imaging, and developing deep learning methods to enhance quantitative PET imaging. Yale School of Medicine is dedicated to educating and nurturing leaders in medicine and science, fostering curiosity and critical inquiry in an inclusive and diverse environment. The institution advances discovery and innovation through collaborations across the university, the local community, and globally. Patient care is delivered with compassion, and there is a commitment to improving the health of all people. The Yale University PET Center, located in New Haven, CT, is a 22,000 sq. ft. facility designed to support the molecular imaging research interests of Yale clinicians, scientists, and students. The center features a state-of-the-art radiochemistry laboratory for developing and utilizing PET radiopharmaceuticals with common isotopes (11C, 15O, 13N, and 18F), alongside an imaging and data analysis section that manages scanning procedures and optimizes data acquisition and analysis. The PET Center also offers educational opportunities for doctoral and postdoctoral trainees through collaborations with other School of Medicine departments and works with industry partners to advance molecular imaging in new medication discovery and the development of new PET radiopharmaceuticals. Current research focuses on disorders of the central nervous system (CNS), oncology, cardiology, and diabetes.

Requirements

• Ph.D. or MD/PhD in biomedical engineering, physics, electrical and computer engineering, computer science, applied mathematics or related fields.
• Experience and a track record of publications in two of the following areas: PET imaging physics, modeling of PET data and corresponding physical corrections; Tomographic image reconstruction including conventional reconstruction algorithms and penalized image reconstruction techniques; Radiotracer development, acquisition of experimental data including arterial blood and plasma as well as radiometabolite analysis using HPLC techniques, pharmacokinetic modeling including blood-based and reference region-based models, and use of numerical solvers for model fitting; Deep learning tools and methods for image denoising, reconstruction, segmentation and classification.
• Experience with computer science and data science, image processing and analysis.
• Proficiency with programming languages such as C/C++, Python, MATLAB, R, Linux scripting (e.g. bash).
• Strong verbal and written communication skills demonstrated by publication track record and experience with grant writing.
• Mentoring skills for undergraduate and graduate students, interns and visitors.

Nice To Haves

• Experience with MR imaging and MR image reconstruction and analysis.
• Experience with brain imaging and knowledge of biomarkers in Alzheimer's and other neurodegenerative diseases.
• Familiarity with optimization theory and applications to inverse problems.

Responsibilities

• Teach both undergraduate and graduate courses in related areas.
• Develop a research program in collaboration with an interdisciplinary team of faculty.
• Secure research funding.
• Development, characterization and validation of novel imaging biomarkers with PET.
• Pharmacokinetic modeling of novel radiopharmaceuticals.
• Development of advanced image reconstruction algorithms for quantitative PET and PET/MR imaging.
• Development of deep learning methods to improve quantitative PET imaging.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Ph.D. or professional degree