Research Assistant - Radiology

Department:

SOM KC Radiology

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Levendovszky Lab

Position Title:

Research Assistant - Radiology

Job Family Group:

Professional Staff

Job Description Summary:

The Research Assistant supports imaging and data analysis activities within the Department of Radiology’s magnetic resonance imaging (MRI) research laboratory. The role focuses on studies related to cerebrovascular pathology and glymphatic biology in the context of Alzheimer’s disease and related dementias. Responsibilities include supporting MRI data acquisition workflows, performing image and data processing, and assisting with analysis procedures according to established study protocols. The position follows study-specific methodologies for imaging parameter selection and data processing based on acquisition characteristics, image quality, and research objectives. The role works in coordination with interdisciplinary research teams, including collaborators in neurology, psychology, radiology, physics, bioengineering, and biostatistics. The position reports to the Director of the Cerebrovascular Imaging and Analytics (CINA) Lab, Swati Rane Levendovszky.

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 dedicated to analysis tasks.

• Prepare figures for presentations and manuscripts and assist in manuscript and grant preparation including writing methodology reports.

• Prepare documentation data analysis workflow and other experimental practices.

• Attend and participate in CINA meetings.

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:

• Four (4) years experience statistics, analysis, or research. Relevant education may be substituted for experience on a year for year basis.

• Experience with fundamental neuroimaging concepts.

• Experience with a command line environment (e.g. UNIX, MATLAB, Python, R).

Preferred Qualifications

Education: Master’s degree in engineering, biomedical engineering, medical physics, physics, chemistry, biostatistics, computational neuroscience or related fields.

Work Experience:

• Two (2) years of experience with Python, MATLAB, and/or R programming language.

• Experience in working with clinical populations, especially seniors or those with degenerative brain disease.

• Two (2) years of experience with Python, MATLAB, and/or R programming language.

• Experience with MRI acquisitions and functional and structural MRI data analysis.

Skills

• Computer skills

• Interpersonal skills

• Attention to detail

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:

Regular

Time Type:

Full time

Rate Type:

Hourly

Compensation Statement:

The pay range listed for this position is determined by our compensation program using market data and salary benchmarking. A combination of factors is