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Retiree Research Collaborator

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: University of Colorado System
Full Time position
Listed on 2026-10-12
Job specializations:
  • IT/Tech
    Data Scientist
Salary/Wage Range or Industry Benchmark: 90000 - 156000 USD Yearly USD 90000.00 156000.00 YEAR
Job Description & How to Apply Below
Position: Working 401a Retiree - Staff - Research Collaborator
University of Colorado Anschutz Department:
Neurosurgery

Job Title:

Working ORP Retiree Position #:  

– Requisition :41346

This position is internal to University of Colorado ORPretirees.

Job Summary

The Department of Neurosurgery is seeking a Research Collaborator to assist Dr. Kevin Lillehei, with the collating and analysis ofthe clinical data accumulated within the multi-disciplinary

Pituitary Program, over the last several decades. This position will require the individual to review clinical data, perform analysis, and independently review its importance with regard to clinical impact. Functions will include assistance, and often thelead, in manuscript preparation and submission.

Key Responsibilities
  • Collaborate with and support clinical and research personnel, andother stakeholders, within the Pituitary Program.
  • Perform scientifically rigorous data management and bioinformaticanalyses
  • Develop and disseminate a variety of tools designed to accessrelevant clinical and sample data
  • Creatively and effectively integrate data from multiple sourcesto accelerate discoveries
  • Independently and creatively identify bioinformatic and data management solutions
  • provide the biostatistical/data science expertise and leadership in study design, study oversight, data management, data analysis and manuscript preparation to assist all levels of biomedical investigators and clinicians on new research activities across awide range of disciplines
  • Serve as a resource to PIs and other stakeholders
  • Act as a Subject Matter Expert and authority in the area(s) of Neurosciences
  • New grant application data analysis for clinical trial design andpower calculations
  • Additional grant and publication assistance as needed
Work Location

Remote – this role is eligible to work remotely, but the employee must be in the United States.

Why Join Us

The Department of Neurosurgery at the University of Coloradocontinues to expand. We currently have ~ 40 MD faculty, > 30

Advance Practice Providers, and various Research faculty. Our Department spans CU Anschutz, Children's Hospital of Colorado, the Denver VA, Longs Peak Hospital, and Highlands Ranch Hospital, andconsists of both general and specialized surgeons with expertise in Neuro-Spine, Endovascular Neurosurgery, Skull-Based/Tumor,Functional and Stereotactic, Neuro ICU and Neuropsychology. Weoffer a leading ACGME approved residency program in Neurosurgerythat alternates between 2 and 3 resident opportunities each year.

One-year fellowships are offered in all our specialties for advanced training. We are a top 20 Neurosurgery department in NIH funding. The Department of Neurosurgery believes in investing inour faculty, staff and trainees and provides opportunities fortheir growth and wellness.

Qualifications

Minimum Qualifications

Applicants must meet minimum qualifications at the time ofhire.

  • Bachelor's degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field
  • An advanced degree (MD, Masters or PhD) may be substituted for experience on a year for year basis if the degree is in a field ofstudy directly related to the work assignment.
  • 10+ years of statistical information data entry.
Preferred Qualifications
  • Previous CU Employee, knowledge of CU system, applications, and policies.
  • MD degree in a field directly related to the work assignment,with a working knowledge of Bioinformatics, Biostatistics,Computational Biology, Data Science, Computer Science or related field
Knowledge,

Skills and Abilities
  • Effective communication in verbal communication and writtenformat.
  • Ability to organize and manage time independently of asupervisor
  • Ability to log and track hours independently of any supervisory requirements
  • Ability to work independently and manage multiple tasks
  • Expert…
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