Working Retiree ORP - Faculty

University of Colorado•Aurora, CO
•Remote

About The Position

The Department of Neurosurgery at the University of Colorado Anschutz is seeking a Research Collaborator to assist Dr. Kevin Lillehei in collating and analyzing clinical data accumulated by the multidisciplinary Pituitary Program over several decades. The position reviews clinical data, conducts analyses, and independently assesses their clinical impact. It also contributes to—and often leads—manuscript preparation and submission. The role provides biostatistical and data science expertise and leadership in study design, oversight, data management, analysis, and manuscript preparation for biomedical investigators and clinicians across disciplines. The position collaborates with clinical and research personnel and other Pituitary Program stakeholders, develops tools for accessing clinical and sample data, integrates data from multiple sources, identifies bioinformatics and data management solutions, and supports grant applications and publications. The position is remote, but the employee must be located in the United States. It is restricted to University of Colorado ORP retirees who are faculty members.

Requirements

  • Previous University of Colorado employment and knowledge of the CU system, applications, and policies.
  • Must currently be a University of Colorado Anschutz faculty member retired on the ORP.
  • MD degree in a field directly related to the work assignment, with working knowledge of bioinformatics, biostatistics, computational biology, data science, computer science, or a related field.
  • Effective verbal and written communication skills.
  • Ability to organize and manage time independently of a supervisor.
  • Ability to log and track hours independently of supervisory requirements.
  • Ability to work independently and manage multiple tasks.
  • Expert knowledge of basic statistical principles relevant to medical research.
  • Expert ability to analyze and solve complex problems and apply quantitative analytical approaches.
  • Familiarity with statistical analytical concepts and methods.
  • Ability to establish and maintain effective working relationships with employees at all levels throughout the institution.
  • Outstanding customer service skills.
  • Demonstrated commitment and leadership ability to advance diversity and inclusion.
  • Knowledge of basic human anatomy, physiology, and medical terminology.
  • Legally authorized to work in the United States without requiring sponsorship; sponsorship and employment authorization are not available for this position.

Nice To Haves

  • Previous knowledge and experience working with the Department of Neurosurgery.
  • 20 or more years of experience as a previous faculty member at the rank of Professor from any track or series.
  • 30 or more years of experience in Neuropathology.

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 tools to access relevant clinical and sample data.
  • Integrate data from multiple sources to accelerate discoveries.
  • Identify bioinformatic and data management solutions independently and creatively.
  • Provide biostatistical and data science expertise and leadership in study design, study oversight, data management, data analysis, and manuscript preparation for biomedical investigators and clinicians across disciplines.
  • Serve as a resource to principal investigators and other stakeholders.
  • Act as a subject matter expert and authority in Neurosciences.
  • Analyze data for new grant applications, including clinical trial design and power calculations.
  • Provide additional grant and publication assistance as needed.
  • Review clinical data, perform analyses, and independently assess their clinical impact.
  • Assist with and often lead manuscript preparation and submission.

Benefits

  • The department provides opportunities for faculty, staff, and trainees to support their growth and wellness.

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What This Job Offers

Job Type

Full-time

Career Level

Senior

Education Level

Ph.D. or professional degree

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