Working 401a Retiree - Staff - Research Collaborator
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Key details
- Location
- Aurora
- Work style
- Remote
- Level
- Senior
- Experience
- 10–13 yrs
- Function
- other
- Focus area
- other
- Posted
- 1w ago
Skills
About the role
University of Colorado Anschutz
Department: Neurosurgery
Job Title: Working ORP Retiree
Position #: 00853745 – Requisition :41346
This position is internal to University of Colorado ORP retirees.
Job Summary: | The Department of Neurosurgery is seeking a Research Collaborator to assist Dr. Kevin Lillehei, with the collating and analysis of the 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 the lead, in manuscript preparation and submission.
Key Responsibilities: · Collaborate with and support clinical and research personnel, and other stakeholders, within the Pituitary Program. · Perform scientifically rigorous data management and bioinformatic analyses · Develop and disseminate a variety of tools designed to access relevant clinical and sample data · Creatively and effectively integrate data from multiple sources to 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 a wide 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 and power calculations · Additional grant and publication assistance as needed
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Work Location: | Remote – this role is eligible to work remotely, but the employee must be in the United States.
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Why Join Us: | The Department of Neurosurgery at the University of Colorado continues 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, and consists of both general and specialized surgeons with expertise in Neuro-Spine, Endovascular Neurosurgery, Skull-Based/Tumor, Functional and Stereotactic, Neuro ICU and Neuropsychology. We offer a leading ACGME approved residency program in Neurosurgery that 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 in our faculty, staff and trainees and provides opportunities for their growth and wellness.
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Qualifications: | Minimum Qualifications:
Applicants must meet minimum qualifications at the time of hire.
· Bachelor’s degree in Bioinformatics, Biostatistics, Computational Biology, Data Science, Computer Science or related field o 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 of study 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 written format. · Ability to organize and manage time independently of a supervisor · Ability to log and track hours independently of any supervisory requirements · Ability to work independently and manage multiple tasks · Expert knowledge of basic statistical principles relevant in medical research · Expert |
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