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Senior Scientist - Radiology

University of Kansas Medical Center
Delp Pavilion F, United States, United Statesfull_timeVerifiedPosted 27 Oct 2025
💰 $99,000/yr($65,000/yr$99,000/yr)

About the role

Department:

SOM KC Radiology

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Levendovszky Lab

Position Title:

Senior Scientist - Radiology

Job Family Group:

Professional Staff

Job Description Summary:

The Senior Scientist in the Department of Radiology is responsible for advancing magnetic resonance imaging (MRI) research within the Cerebrovascular Imaging and Analytics (CInA) Laboratory. The position focuses on investigating cerebrovascular pathology and its relationship to glymphatic function to improve understanding of the neurobiology underlying Alzheimer’s disease and related dementias. This role develops and applies advanced MRI acquisition, processing, and analysis methods to achieve accurate and reproducible measures of brain physiology. Responsibilities include designing and optimizing imaging pipelines, refining analysis workflows, and ensuring methodological rigor across studies. The Senior Scientist contributes to study design, data interpretation, manuscript preparation, and grant development. The position collaborates closely with neurologists, psychologists, radiologists, physicists, bioengineers, and biostatisticians.

Job Description:

Job Duties

  • Perform preprocessing and pipelining of functional and structural MRI and DTI data; prepare and analyze data for presentation; work at the command-line in for neuroimaging processing and analysis (FSL, AFNI, in-house software tools).
  • Assist with modifying computer scripts and analytical pipelines to enhance data processing, reproducibility, and study-specific objectives.
  • Contribute to manuscript preparation, grant proposals, and dissemination of research findings, providing interpretation of imaging results.
  • Conduct literature reviews and maintain expertise in emerging neuroimaging methods to inform project development and improve analysis approaches.
  • Mentor and guide analysts, trainees, and research staff in neuroimaging methods, data analysis workflows, and best practices.

This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. It is only a summary of the typical functions of the job, not an exhaustive list of all possible job responsibilities, tasks, duties, and assignments. Furthermore, job duties, responsibilities and activities may change at any time with or without notice.

Required Qualifications

Work Experience

  • Nine (9) years of relevant experience. Education may be substituted for experience on a year for year basis. 
  • Knowledge of MRI methods and application to neuroscience as demonstrated by application materials.
  • Experience with a command line environment (e.g., UNIX, MATLAB, Python, R).

Preferred Qualifications

Education:

  • A PhD in engineering, biomedical engineering, medical physics, physics, chemistry, biostatistics, computational neuroscience or related field.

Work Experience:

  • Two (2) years of experience in neuroimaging data processing.
  • Two (2) years of UNIX and shell scripting experience.
  • Two (2) years of experience with Python, MATLAB, and/or R programming language.
  • Experience with fMRIPrep, DTIPrep, and QSIPrep.
  • Experience with machine learning frameworks such as PyTorch, for data analysis.

Skills

  • Communication
  • Time management
  • Multi-tasking
  • Presentation
  • Organization
  • Computer skills

Required Documents

  • Resume/CV
  • Cover Letter

Comprehensive Benefits Package:

Coverage begins on day one for health, dental, and vision insurance and includes health expense accounts with generous employer contributions if the employee participates in a qualifying health plan. Employer-paid life insurance, long-term disability insurance, and various additional voluntary insurance plans are available. Paid time off, including vacation and sick, begins accruing upon hire, plus ten paid holidays. One paid discretionary day is available after six months of employment, and paid time off for bereavement, jury duty, military service, and parental leave is available after 12 months of employment. A retirement program with a generous employer contribution and additional voluntary retirement programs (457 or 403b) are available. https://www.kumc.edu/human-resources/benefits.html

Employee Type:

Fixed Term (Fixed Term)

Time Type:

Full time

Rate Type:

Salary

Compensation Statement:

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Company

University of Kansas Medical Center

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