Medical Imaging Analyst

Medical Imaging Analyst

University of Colorado Anschutz Medical Campus Department:
Medicine – Division of Renal Diseases and Hypertension

Job Title:

Medical Imaging Analyst Position #:  

– Requisition #: 40921

Job Summary:

The Medical Imaging Analyst in Polycystic Kidney Disease (PKD) will support clinical research and patient-care initiatives focused on autosomal dominant polycystic kidney disease (ADPKD) and other cystic kidney disorders. The analyst will be responsible for the acquisition, organization, processing, analysis, and interpretation of renal imaging data, with particular emphasis on quantitative assessment of kidney structure, cyst burden, and disease progression. This individual will work closely with nephrologists, radiologists, imaging scientists, clinical research coordinators, biostatisticians, and investigators to support observational studies, clinical trials, and translational research programs.

Key Responsibilities:

• Perform quantitative analysis of kidney imaging studies, including MRI, CT, and ultrasound examinations.
• Measure and analyze total kidney volume (TKV), height-adjusted TKV (htTKV), kidney dimensions, cyst burden, and other relevant imaging biomarkers.
• Apply standardized imaging protocols and analytic methods for longitudinal assessment of PKD progression.
• Perform image segmentation, quality control, and validation of imaging-derived measurements.
• Evaluate changes in kidney structure and volume over time.

Work Location:

Onsite – this role is expected to work onsite and is located in Aurora, CO at the University of Colorado Anschutz Medical Campus.

Why Join Us:
The University of Colorado Anschutz Division of Renal Diseases and Hypertension has a long legacy in academic medicine. Our mission is to provide the highest level of medical care to patients, to train the next generation of academic leaders, and to expand on cutting-edge basic and clinical investigation in Nephrology. The Renal Division at the University of Colorado is one of the premier academic programs in the United States with state-of-the-art clinical, educational and research programs, and distinguished faculty members.

Why work for the University? We have AMAZING benefits and offer exceptional amounts of holiday, vacation, and sick leave! The University of Colorado offers an excellent benefits package including:
Medical:
Multiple plan options Dental:
Multiple plan options Additional Insurance:
Disability, Life, Vision Retirement 401(a) Plan:
Employer contributes 10% of your gross pay Paid Time Off:
Accruals over the year Vacation Days: 22/year (maximum accrual 352 hours) Sick Days: 15/year (unlimited maximum accrual) Holiday Days: 15/year Tuition Benefit:
Employees have access to this benefit on all CU campuses ECO Pass:
Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage.

Qualifications:

Minimum Qualifications:

Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field. A combination of education and related technical/military/paraprofessional experience may be substituted for a bachelor's degree on a year for year basis. One (1) year of data management and bioinformatic analyses experience. Applicants must meet minimum qualifications at the time of hire.

Preferred Qualifications:

Master's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field. Two (2) years of experience analyzing data using high-performance computing.

Knowledge, Skills and Abilities:

Strong knowledge of basic statistical principles relevant in medical research. Ability to analyze and solve complex problems and apply quantitative analytical approaches. Demonstrated fluency in one or more programming languages (e.g., R, Python, Perl, Java, C++) and willingness to learn new programming languages as necessary. Familiarity with statistical analytical concepts and methods. Ability to communicate effectively, both in writing and orally.

Ability to establish and maintain effective working relationships with employees at all levels throughout the institution. Outstanding customer service skills. Knowledge of basic human anatomy, physiology, and medical terminology. Ability to interpret and master complex research protocol information.