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Research Scientist / Data Manager and Analyst

University of Colorado · USA

🏠 Remote📅 30 May 2026

Job Description

Research Scientist / Data Manager and Analyst

The University of Colorado Anschutz is seeking a dedicated Research Scientist / Data Manager and Analyst to join the Division of Maternal Fetal Medicine within the Department of Obstetrics and Gynecology. This is a permanent, full-time, remote position, open to candidates located within the United States.

About the Role

This role is integral to advancing clinical research in Maternal-Fetal Medicine. You will be part of an interdisciplinary team focused on improving patient outcomes through data-driven studies. The division is committed to developing future researchers and pushing the boundaries of knowledge in the field.

Key Responsibilities

  • Design, develop, and maintain high-quality Electronic Medical Record (EMR) / Electronic Health Record (EHR) based datasets for retrospective cohort studies and real-world evidence generation.
  • Manage databases for the PARITY database, the Colorado Fetal Care Center, and the Perinatal Research Advisory & Facilitation Committee.
  • Ensure data integrity, traceability, and alignment with study objectives through rigorous validation and documentation.
  • Develop and manage longitudinal datasets to evaluate clinical outcomes, treatment patterns, and health disparities.
  • Provide data strategy and methodological guidance across various research projects.
  • Contribute to the continuous improvement of research data workflows and infrastructure.
  • Mentor junior researchers, medical students, residents, and fellows on study design, cohort development, and analytical methods.
  • Lead projects to achieve meaningful progress, aiming for at least two journal or conference publications per year.

Requirements

  • Master's degree or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field.
  • Minimum of 5 years of experience in clinical data management, epidemiology, or healthcare data science.
  • Strong experience working with EMR/EHR data systems (e.g., Epic Clarity, Caboodle).
  • Expertise in retrospective cohort study design and longitudinal data analysis.
  • Proficiency in SQL, SAS, and/or similar analytical tools.
  • Solid understanding of Good Clinical Practice (GCP), Institutional Review Board (IRB) processes, and regulatory compliance.
  • Demonstrated experience contributing to peer-reviewed research or academic publications.
  • Must be legally authorized to work in the United States without requiring sponsorship.

Preferred Qualifications

  • PhD or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field.
  • Advanced skills in statistical programming software (SAS, R, SPSS).
  • Experience in Obstetrics/Gynecology, perinatal, or population health research.
  • Experience with REDCap or similar clinical research data capture tools.
  • First- or co-author publications in clinical or epidemiological research.
  • Experience in an academic medical center or research institution.
  • Experience supporting grant-funded research or contributing to grant applications.

What We Offer

  • A collaborative and supportive interdisciplinary research environment.
  • Opportunity to make a significant impact on patient care and clinical practice.
  • Excellent benefits package, including:
    • Multiple medical and dental plan options.
    • Additional insurance (Disability, Life, Vision).
    • Retirement 401(a) Plan with a 10% employer contribution.
    • Generous Paid Time Off: 22 vacation days and 15 sick days per year.
    • 11 paid holidays per year.
    • Tuition benefit for employees.
    • Reduced rate RTD Bus and light rail service (ECO Pass).
  • A competitive salary range of $96,000 - $101,000 annually.

How to Apply

Please submit the following documents:

  1. A letter of interest detailing relevant experience and interest in the position.
  2. Curriculum Vitae / Resume.
  3. Five professional references with contact information.

Applications are accepted electronically only at www.cu.edu/cu-careers.

For inquiries, please contact Jocelyn Phipers at jocelyn.phipers@cuanschutz.edu.

Screening of applications begins immediately and continues until June 3rd, 2026.

✨ This description was enhanced by AI based on the original listing.