remote
Research Scientist / Data Manager and Analyst - University of Colorado
Research Engineer
Lead research data management and analysis for obstetrics and gynecology studies, leveraging Python, R, and SQL to design, execute, and interpret complex datasets, ensuring rigorous statistical integrity and reproducible results.
About the role
Key Responsibilities
- Design, implement, and maintain robust data pipelines for large-scale clinical and translational research projects.
- Perform advanced statistical analyses using R and Python, translating findings into actionable insights for investigators.
- Develop and enforce data quality standards, including validation, cleaning, and documentation procedures.
- Collaborate with multidisciplinary teams to define study protocols, data collection instruments, and analytic plans.
- Generate comprehensive reports, visualizations, and presentations for internal stakeholders and external funding agencies.
Requirements
- Ph.D. or Master’s degree in Biostatistics, Epidemiology, Data Science, or related field.
- Proven experience with SQL databases and data manipulation in Python/R.
- Strong knowledge of statistical methods and experience with reproducible research practices.
- Excellent communication skills and ability to translate complex analyses into clear, concise reports.
- Experience in obstetrics/gynecology research or clinical trials is a plus.
Skills
pythonsqldata analysis