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 onautosomal dominant polycystic kidney disease (ADPKD) and othercystic kidney disorders. The analyst will be responsible for the acquisition, organization, processing, analysis, and interpretation of renal imaging data, with particular emphasis on quantitativeassessment of kidney structure, cyst burden, and diseaseprogression.

This individual will work closely with nephrologists, radiologists,imaging scientists, clinical research coordinators,biostatisticians, and investigators to support observationalstudies, clinical trials, and translational researchprograms.

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

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

The University of Colorado Anschutz Division of Renal Diseases and Hypertension has a long legacy in academic medicine. Our mission isto provide the highest level of medical care to patients, to trainthe next generation of academic leaders, and to expand oncutting-edge basic and clinical investigation in Nephrology. The Renal Division at the University of Colorado is one of the premieracademic programs in the United States with state-of-the-artclinical, educational and research programs, and distinguishedfaculty members.

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 grosspay
• 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 allCU campuses
• ECO Pass:
  Reduced rate RTD Bus and light rail service

There are many additional perks & programs with the CU Advantage .

• 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 analysesexperience.

Applicants must meet minimum qualifications at the time ofhire.

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

• Applicants must be legally authorized to work in the United States without requiring sponsorship. We are unable to provide workvisa sponsorship or employment authorization for this position nowor in the future.

• Strong knowledge of basic statistical principles relevant inmedical 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 newprogramming languages as necessary.
• Familiarity with statistical analytical concepts and methods.
• Ability to communicate effectively, both in writing…