Medical Imaging Analyst
University of ColoradoJobsCloseBy Editorial Insights
University of Colorado Anschutz Medical Campus is hiring a Medical Imaging Analyst to advance clinical research in autosomal dominant polycystic kidney disease, focusing on quantitative imaging of MRI, CT, and ultrasound to measure kidney volume, cyst burden, and disease progression. The role requires a bachelor’s degree in a related field and one year of data management and bioinformatic analyses, with a master’s degree and two years high performance computing experience preferred. This onsite position in Aurora offers a starting pay of $58,363 to $64,500 and opportunities to collaborate with nephrologists, radiologists, and biostatisticians. To apply, submit a cover letter describing relevant experiences, CV, and three to five references, tailor your letter to PKD imaging, and showcase programming skills (R, Python), image quality control, and segmentation experience. Applications reviewed as they are received through August 30, 2026.
Description
University of Colorado Anschutz Medical Campus
Department: Medicine – Division of Renal Diseases and Hypertension
Job Title: Medical Imaging Analyst
Position #: 00852530 – 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.
Conditions of Employment:
Applicants must be legally authorized to work in the United States without requiring sponsorship. We are unable to provide work visa sponsorship or employment authorization for this position now or in the future.
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.
How to Apply:
For full consideration, please submit the following document(s):
A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position.
Curriculum vitae / Resume
Three to five professional references, including name, address, phone number (mobile number if appropriate), and email address.
Questions should be directed to: Betsy Pike, Human Resources Program Manager for the Division of Renal Diseases and Hypertension, [email protected]
Screening of Applications Begins:
Immediately and continues until 8/30/26
Anticipated Pay Range:
The starting salary range (or hiring range) for this position has been established as $58,363 – $64,500.
The above salary range (or hiring range) represents the University’s good faith and reasonable estimate of the range of possible compensation at the time of posting. This position may be eligible for overtime compensation, depending on the level.
Your total compensation goes beyond the number on your paycheck. The University of Colorado provides generous leave, health plans and retirement contributions that add to your bottom line.
Equal Employment Opportunity Statement:
CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities.
ADA Statement:
The University will provide reasonable accommodations to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at [email protected].
Background Check Statement:
The University of Colorado Anschutz Medical Campus is dedicated to ensuring a safe and secure environment for our faculty, staff, students and visitors. To assist in achieving that goal, we conduct background investigations for all prospective employees.
Vaccination Statement:
CU Anschutz strongly encourages vaccination against the COVID-19 virus and other vaccine preventable diseases. If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively. In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program.