• Lead complex analytical initiatives, including ambiguous problem spaces. • Partner with stakeholders to define KPIs, metrics, and analytical frameworks. • Perform deep-dive analyses using SQL and advanced analytical techniques. • Build executive-facing dashboards and analytical outputs. • Ensure analytical integrity by understanding upstream data models and transformations. • Collaborate with Analytics Engineering to refine data models, metrics, and semantic layers. • Review and provide feedback on analyses from junior analysts. • Drive best practices in analytical rigor, documentation, and storytelling. • Identify opportunities to improve data quality, metric definitions, and analytical workflows. • Contribute to analytics engineering workflows (e.g., reviewing dbt models, suggesting improvements). • Communicate insights through clear visualizations and narratives.

Role Description 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. 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. 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. If you join us, you will become an integral part of an interdisciplinary team that values collaboration and teamwork above all else. - 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. Qualifications - 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. Requirements - 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 Benefits - 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

• Responsible for extracting, analyzing, reporting, tracking and monitoring provider data across business functions, systems and interfaces • Manage new HPLC initiatives from concept to implementation and provide statistics measuring progress • Participate as a member of Health Partner Lifecycle (HPLC) team to support existing provider data operations and new market implementations • Perform cost-benefit and return on investment analyses for proposed initiatives to aid in the decision-making process • Ensure operational effectiveness by assisting in the development of strategic plans for HPLC • Assume a leading role in the operational readiness process • Prepare and deliver summaries, recommendations, or alternatives of the analyzed information • Mentor peers to achieve cross-functional capability with project execution and subject matter expertise • Perform any other job related duties, as requested

• Work cross functionally with partners across business, technology and data organizations to design, evolve and execute A/B, and multivariate tests • Responsible for developing methodologies, analytical processes and occasional reporting to unearth insights