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Participate in interdisciplinary conferences, conferring with other services concerning issues affecting Medical Imaging * Support innovative research and serve as a willing collaborator with ...

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The OSU College of Medicine and Department of Radiology have made significant commitments towards expanding medical imaging research and are seeking outstanding candidates in the field of ...

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Research Assistant Professor of Computer Science - Medical Imaging Informatics and AI for Translatio

University of Oklahoma

Norman, OK • On-site

Full-time

Posted 13 days ago

University Of Oklahoma rating

8.1

Company rating: 8.1 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

171st of 631 rated colleges and universities

Job description

Description
The School of Computer Science at the University of Oklahoma invites applications for a 12-month non-tenure track Research Assistant Professor position in Computer Science with a focus on informatics and AI/ML for medical imaging in translational cancer research. This Research Assistant Professor will be part of the Clinical Imaging and Data Resources Core (CIDRC) of the NIH COBRE Oklahoma Center of Medical Imaging for Translational Cancer Research (OCMICR). The position will perform independent and collaborative research in medical imaging AI and informatics, including image segmentation, representation learning, multimodal data integration, quantitative imaging biomarkers, AI-assisted annotation, and reproducible computational analysis.
Responsibilities
The successful candidate will be expected to:
Conduct methodological and collaborative research in areas such as medical image segmentation, classification, registration, multimodal learning, radiomics/pathomics, AI-assisted annotation, foundation models, and quantitative imaging biomarker discovery;
Collaborate with investigators on the design and analysis of cancer imaging studies involving radiology, pathology, microscopy, optical imaging, ultrasound/photoacoustic imaging, and other biomedical imaging modalities;
Support the development of imaging informatics and computational infrastructure for organizing, processing, analyzing, and sharing multimodal imaging datasets;
Develop reproducible computational workflows for image preprocessing, feature extraction, model training, evaluation, visualization, and downstream statistical or machine learning analysis;
Integrate imaging data with relevant clinical, biospecimen, biomarker, molecular, or other biomedical data to support translational interpretation;
Contribute to manuscripts, grant applications, preliminary-data generation, software development, documentation, and training activities;
Participate in interdisciplinary consultations, workshops, and collaborative research activities related to CIDRC and the broader medical imaging research community
Qualifications
  • A Ph.D. in Computer Science, Data Science, Biomedical Informatics, Electrical Engineering, or a closely related field.
  • Demonstrated research expertise in one or more of the following areas: machine learning, computer vision, medical image analysis, or biomedical imaging informatics.
  • A record of scholarly productivity appropriate for appointment at the rank of Research Assistant Professor.
  • Strong programming, system-building, and experimental evaluation skills.
  • Ability to develop, validate, and apply computational methods for biomedical imaging data.
  • Ability to work effectively in interdisciplinary research teams involving clinicians, biomedical engineers, biostatisticians, and cancer researchers.
  • Excellent written and oral communication skills.

Application Instructions
Applicants should submit a cover letter, curriculum vitae, and contact information for three references to Interfolio. Applications will be reviewed until the position is filled.
Equal Employment Opportunity Statement
The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression (consistent with applicable law), age (40 or older), religion, disability, political beliefs, or status as a veteran in any of its policies, practices, or procedures. This includes but is not limited to admissions, employment, housing, financial aid, and educational services.
Why You Belong at the University of Oklahoma
The University of Oklahoma values our community's unique talents, perspectives, and experiences. At OU, we aspire to harness our innovation, creativity, and collaboration for the advancement of people everywhere. You Belong Here!
Mission of the University of Oklahoma
The Mission of the University of Oklahoma is to provide the best possible educational experience for our students through excellence in teaching, research and creative activity, and service to the state and society.

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About University of Oklahoma

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The University of Oklahoma is a prominent educational institution positioned in Norman, Oklahoma, US. Established in 1890, the university stakes a claim within the higher education industry and has a storied history of excellence in academics and research. Serving over 20,000 students, the university offers a wide range of programs across fields such as arts and sciences, business, engineering, international studies, and more. Emphasizing a dedication to unlocking potential, OU's mission is to provide the best possible educational experience to students through excellence in teaching, research, and creative activity. Notably, the institution has made significant strides in research with a focus on areas such as cancer, aerospace, and energy among others.

Industry

Education

Company size

5,001 - 10,000 Employees

Headquarters location

Norman, OK, US

Year founded

1890

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