Research Professional 5-Biostatistician
About the Job
The Division of Cardiovascular Medicine in the University of Minnesota’s Department of Medicine is seeking an experienced Biostatistician to work with research teams and directly support multiple faculty investigators. Reporting to Rajat Kalra MBChB, MS, Associate Professor of Medicine, the successful candidate will bring strong applied statistical judgment, analytical precision, and a collaborative approach to handling complex cardiology data.
Responsibilities
Data Management (40%)
- Extract and adjudicate data from REDCap and other research data sources.
- Develop and maintain analysis-ready datasets, including variable derivation and transformation.
- Perform data quality checks and resolve inconsistencies in collaboration with study teams.
- Document data processing workflows to ensure reproducibility and transparency.
- Use software (Python or SPSS, etc) to extract and manage data from relational databases.
Data Analysis (40%)
- Design and implement statistical analysis plans for multiple projects using R, including data analysis, interpretation, and preparation of results for publication and presentation.
- Contribute to study design and analytic strategy, including selection of appropriate statistical methods and identification of potential limitations.
- Apply appropriate statistical methods to complex research questions.
Research Dissemination and Publication (15%)
- Collaborate on reports, conference papers and publications.
Mentorship and Cross-Functional Engagement (5%)
- Provide guidance and oversight to graduate students and trainees.
Qualifications
Required: Masters degree in biostatistics with 1 or more years of research training/experience working with distributed data. Proficiency using SAS and/or R. Apply advanced statistical methods including regression, Kaplan-Meier, ANOVA, and propensity score matching.
Preferred: 3-5 years experience, with prior evidence of work in cardiovascular science.
This position requires an on campus presence of 3 days per week.
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