Postdoctoral Research Associate (Cardiac Radioablation)-Radiation Oncology

Washington University School of Medicine

Saint Louis, MO

Job posting number: #7083970 (Ref:JR49123)

Posted: August 26, 2021

Application Deadline: Open Until Filled

Job Description

The Washington University School of Medicine, Center for Noninvasive Cardiac Radioablation has an opening for a post-doctoral research associate in the Computational Radiotherapy Lab in the Division of Medical Physics. The Center for Noninvasive Cardiac Radioablation is a collaboration between the John T. Milliken Department of Internal Medicine, Cardiovascular Division and the Department of Radiation Oncology, formed to enable safe and effective noninvasive treatment of life-threatening heart rhythm disorders through advancements in laboratory, clinical, and population research, and outreach to centers around the world.

The successful candidate should be interested in developing and applying innovative image analysis tools on clinical data to better understand and guide cardiac radioablation planning, delivery, and assessment. Projects include the use of magnetic resonance imaging, computed tomography, and other imaging modalities for guiding cardiac radioablation for the treatment of ventricular tachycardia. The successful candidate should possess a strong background in computational image analysis and scientific programming. Individuals interested in pursuing an academic research career or a career in image analysis, data science, or medical physics are encouraged to apply. Training opportunities in preparation for a medical physics residency are available in the department for qualified and interested candidates.

Minimum Requirements:

Ph.D. in medical physics, physics, engineering, computer science or a related field.
Strong background in image analysis, image registration and/or image segmentation.
Strong scientific programming skills in C/C++ or Python.
Familiarity with image analysis tools, such as ITK and VTK.
Familiarity working with high-performance computing environments, including GPU platforms for high-throughput analysis of images.
Familiarity in machine learning, artificial intelligence, and/or computer vision.
Ability and interest in working in small, interdisciplinary teams with other technical scientists and clinicians.


Base pay commensurate with experience.

Applicant Special Instructions:

Interested candidates should send a cover letter (brief) and curriculum vitae to Dr. Geoffrey Hugo at

Pre-Employment Screening:

All external candidates receiving an offer for employment will be required to submit to pre-employment screening for this position. The screenings will include criminal background check and, as applicable for the position, other background checks, drug screen, an employment and education or licensure/certification verification, physical examination, certain vaccinations and/or governmental registry checks. All offers are contingent upon successful completion of required screening.

Benefits Statement:

Washington University in St. Louis is committed to providing a comprehensive and competitive benefits package to our employees. Benefits eligibility is subject to employment status, full-time equivalent (FTE) workload, and weekly standard hours. Please visit our website at to view a summary of benefits.

EEO/AA Statement:
Washington University is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration without regard to an individual’s sex, race, color, religion, age, disability status, protected veteran status, national or ethnic origin, gender identity or expression, sexual orientation. Women, minorities, protected veterans and the disabled are strongly encouraged to apply.

Diversity Statement:

Washington University is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment – fostering respect for all and welcoming individuals from diverse backgrounds, experiences and perspectives. Individuals with a commitment to these values are encouraged to apply.

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