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Research Scientist / Data Manager and Analyst

University of Colorado Remote USA Remote USA Full Time Posted May 30, 2026

Job Overview

Research Scientist / Data Manager and Analyst - 40088 Research Faculty University of Colorado Anschutz Department: Obstetrics and Gynecology Job Title: Research Scientist / Data Manager and Analyst Position #: 00849049 – Requisition #:40088 Job Summary: We are seeking a Research Data Scientist to join an incredible team of researchers in the Division of Maternal Fetal Medicine within the Department of Obstetrics and Gynecology at the University of Colorado Anschutz.

Our physicians provide full prenatal care, maternal and fetal disease consultation, prenatal diagnosis, and genetic counseling for patients across Colorado and Wyoming.

Job Description

What sets us apart is our dedication to the development of highly successful Maternal-Fetal Medicine fellows and our commitment to advancing research in the field of Maternal-Fetal Medicine.

Work Location: Remote – this role is eligible to work remotely, but the employee must be in the United States. Why Join Us: The Division of Maternal Fetal Medicine (MFM) is one of the largest MFM divisions in the country.

This role contributes directly to advancing clinical research and improving patient outcomes by enabling high-quality, data-driven studies.

The position supports efforts to identify care gaps, address health disparities, and generate evidence that informs clinical practice and policy, while also fostering the development of the next generation of clinical researchers. Why work for the University?

Key Responsibilities

  • Research Scientist / Data Manager and Analyst - 40088 Research Faculty University of Colorado Anschutz Department: Obstetrics and Gynecology Job Title: Research Scientist / Data Manager and Analyst Position #: 00849049 – Requisition #:40088 Job Summary: We are seeking a Research Data Scientist to join an incredible team of researchers in the Division of Maternal Fetal Medicine within the Department of Obstetrics and Gynecology at the University of Colorado Anschutz.
  • We are proud to support the Children’s Hospital of Colorado's Colorado Fetal Care Center (CFCC) which specializes in fetal diagnosis and in utero intervention.
  • If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else.
  • Key Responsibilities: · Design, develop, and maintain high-quality EMR/EHR-based datasets to support retrospective cohort studies and real-world evidence generation · Serve as the database manager 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 · Serve as a key resource for data strategy and methodological guidance across projects · Contribute to continuous improvement of research data workflows and infrastructure · Mentor junior researchers, medical students, residents, and fellows on study design, cohort development, and analytical methods · Data Scientists are expected to 'own' a project and make meaningful progress, leading to 2+ journal/conference publications per year.
  • The position supports efforts to identify care gaps, address health disparities, and generate evidence that informs clinical practice and policy, while also fostering the development of the next generation of clinical researchers.
  • Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at time of hire · Master’s or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field · 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 · Strong understanding of Good Clinical Practice (GCP), IRB processes, and regulatory compliance · Demonstrated experience contributing to peer-reviewed research or academic publications Applicants 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 OB/GYN, 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 working in an academic medical center or research institution · Experience supporting grant-funded research or contributing to grant applications Knowledge, Skills and Abilities: · SQL skills for querying data (especially for cloud computing).
  • If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively.

Required Skills and Qualifications

  • Work Location: Remote – this role is eligible to work remotely, but the employee must be in the United States.
  • Qualifications: Minimum Qualifications: Applicants must meet minimum qualifications at time of hire · Master’s or equivalent in Epidemiology, Clinical Science, Biostatistics, or a related field · 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 · Strong understanding of Good Clinical Practice (GCP), IRB processes, and regulatory compliance · Demonstrated experience contributing to peer-reviewed research or academic publications Applicants 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 OB/GYN, 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 working in an academic medical center or research institution · Experience supporting grant-funded research or contributing to grant applications Knowledge, Skills and Abilities: · SQL skills for querying data (especially for cloud computing).
  • · Strong analytical skills, critical thinking, attention to detail and accuracy, and strong interpersonal skills.
  • · Outstanding customer service skills.
  • A letter of interest describing relevant job experiences as they relate to listed job qualifications and interest in the position 2.
  • If you work, visit, or volunteer in healthcare facilities or clinics operated by our affiliated hospital or clinical partners or by CU Anschutz, you will be required to comply with the vaccination and medical surveillance policies of the facilities or clinics where you work, visit, or volunteer, respectively.
  • In addition, if you work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program .

Benefits and Perks

  • 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 gross pay Paid Time Off: Accruals over the year (based on percentage of time) Vacation Days: 22/year (maximum accrual 352 hours) Sick Days: 15/year (unlimited maximum accrual) Holiday Days: 11/year Tuition Benefit: Employees have access to this benefit on all CU campuses ECO Pass: Reduced rate RTD Bus and light rail service There are many additional perks & programs with the CU Advantage .

Work Location and Schedule

This role is listed as Remote USA with location information shown as Remote USA. The employment type is Full Time.

About the Company

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