Research Professional -Biostatistician

Job Details

Job

Location:

Twin Cities
Job Family:
Research
Full/Part Time:
Full-Time
Regular/Temporary:
Regular
Job Code: 9791BO
Employee Class:
Acad Prof and Admin

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. In this role, you will partner with clinical and scientific leaders to analyze and interpret study data, provide clear statistical guidance, and communicate results effectively.

• 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.
• Modify data management practices to improve analytic efficiency and quality.

• 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.
• Coordinate analyses across projects, evaluate results, and provide regular updates to study teams.
• Apply appropriate statistical methods to complex research questions, accounting for limitations such as distributed or incomplete data.
• Assess data quality and validate assumptions prior to and during analysis.
• Communicate findings clearly to PIs and study teams, providing statistical guidance on analysis and interpretation.
• Develop and adapt analytical approaches in the absence of established methods or standards.
• Ensure analyses are reproducible and well-documented, including code and data transformations.

• Collaborate on reports, conference papers and publications, including first-authoring papers as time warrants.
• Prepare manuscripts for publication and work with journal editors/reviewers to revise manuscripts for publication.

• Provide guidance and oversight to graduate students and trainees in data preparation, analysis, and interpretation.
• Review analytical work to ensure accuracy and alignment with study objectives.
• Serve as a resource to study teams on data use, availability, and appropriate analytical practices.
• Engage effectively across disciplines, communicating statistical concepts clearly and navigating differing perspectives with professionalism.
• Build and maintain effective working relationships across disciplines in a complex research environment.
• Represent the biostatistics function in interactions with internal and external partners.

• Masters degree in biostatistics with 1 or more years of research training/experience working with distributed data.
• Strong written and verbal communication skills.
• Comfortable working independently, as well as working with multiple teams simultaneously.
• Proficiency using SAS and/or R for data management, analysis and simulation.
• Apply advanced statistical methods, including regression (linear, logistic, competing risks), Kaplan‑Meier, ANOVA, and propensity score matching.
• Expertise in generating, interpreting, and presenting complex data sets through K‑M curves and waterfall graphs.

• 3‑5 years experience, with prior evidence of work in cardiovascular science.
• Experience supporting publications, grants, or scientific communications.

This position requires an on campus presence of 3 days per week.

Pay Range: The starting salary for this position ranges…