The Talent Acquisition department hires qualified candidates to fill positions which contribute to the overall strategic success of Howard University. Hiring staff for fit makes significant contributions to Howard Universitys overall mission.
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SUPERVISORY AUTHORITY:
The candidate will supervise postdocs students research assistants or lab interns conducting projects.
NATURE AND SCOPE:
This position is part of the cluster Advancing Health through Mathematics Enhanced AI for Radiology and Endocrinology which is jointly led by the College of Arts and Sciences and the College of Medicine. The goal is to bring together and invest in faculty across departments whose research and scholarship are linked through this cluster and to attract faculty members who can bring different perspectives.
The successful applicant is expected to contribute to an interdisciplinary academic environment through research teaching mentorship and collaboration. Primary responsibilities include leading independent and collaborative research initiatives applying AI and advanced imaging techniques to biomedical challenges and participating in student training and curriculum development. The position emphasizes research that addresses health disparities and fosters inclusive excellence.
PRINCIPAL ACCOUNTABILITIES:
Leverage Howard Universitys distinctive resources and datasets to address health disparities impacting historically underserved communities with an emphasis on leveraging Artificial Intelligence technologies to improve diagnostic treatment and prevention strategies for diseases disproportionately affecting these populations.
Conduct research across various imaging science fields using disease animal models including brain injury neurological diseases developmental disorders diabetes and nanomedicine. Utilize MRI/MRS PET/CT and other imaging modalities incorporating Artificial Intelligence techniques to advance both preclinical and clinical applications.
Coordinate research collaborations between the imaging facilities in the Molecular Imaging Laboratory at Howard University. Provide expertise in imaging methods and experimental design from small animal imaging to translational-clinical imaging studies.
Organize training sessions and workshops for researchers interested in using the MRI.
Participates in academic didactic and professional training provided through seminars workshops and direct meetings with grant faculty.
Conducts data collection statistical analysis and data interpretation responsibilities related to the Molecular Imaging Laboratory grant portfolio.
CORE COMPETENCIES:
Expertise in advanced biomedical imaging modalities (MRI PET CT microscopy) and experience integrating AI techniques into imaging workflows (preferred).
Proficiency in programming and operating systems such as Bruker MRI and microPET/CT systems (preferred).
Demonstrated experience with machine learning and deep learning frameworks.
Strong foundation in statistical analysis data visualization and computational modeling.
Proven ability to work collaboratively in interdisciplinary research environments.
Effective communication and organizational skills; strong written and oral proficiency in English.
MINIMUM REQUIREMENTS:
PhD in Radiological Sciences Physical Sciences Chemistry Biomedical Engineering Computer Science or a closely related field.
Demonstrated experience in biomedical imaging and AI applications.
A strong track record of research productivity and independent funding or the potential to secure external grants.
Enthusiasm for interdisciplinary collaboration and translational research.
Teaching or mentoring experience at the undergraduate graduate or postdoctoral level is preferred.
Compliance Salary Range Disclosure
Compensation Range: $135000 -$150000
Required Experience:
Junior IC
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