Required Qualifications:
- 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
Preferred Qualifications:
- 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.
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. 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.
Responsibilities:
This position applies biostatistics and data management to develop and implement statistical analysis plans, conduct and interpret analyses, and support dissemination through publications, grants, and scientific communications. Duties for this position include:
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.
- Modify data management practices to improve analytic efficiency and quality.
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.
- 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.
Research Dissemination and Publication (15%):
- 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.
Mentorship and Cross-Functional Engagement (5%):
- 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
Applications must be submitted online. To be considered for this position, please click the Apply button and follow the instructions. You will have the opportunity to complete an online application for the position and attach a cover letter and resume or CV.
This position will remain open until filled.
To request an accommodation during the application process, please e-mail [email protected] or call (612) 624-8647.
The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds.
The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu
Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.
The University of Minnesota, Twin Cities (UMTC)
The University of Minnesota, Twin Cities (UMTC), is among the largest public research universities in the country, offering undergraduate, graduate, and professional students a multitude of opportunities for study and research. Located at the heart of one of the nation's most vibrant, diverse metropolitan communities, students on the campuses in Minneapolis and St. Paul benefit from extensive partnerships with world-renowned health centers, international corporations, government agencies, and arts, nonprofit, and public service organizations.
At the University of Minnesota, we are proud to be recognized by the Star Tribune as a Top Workplace for 2021, as well as by Forbes as Best Employers for Women and one of America’s Best Employers (2015, 2018, 2019, 2023), Best Employer for Diversity (2019, 2020), Best Employer for New Grads (2018, 2019), and Best Employer by State (2019, 2022).
About the U of M Medical School:
Committed to innovation and diversity, the Medical School educates physicians, scientists, and health professionals; generates knowledge and treatments; and cares for patients and communities with compassion and respect. We value excellence, inclusiveness, collaboration, and discovery.
The mission of the regional campus located in Duluth is to be a national leader in improving healthcare access and outcomes in rural Minnesota and American Indian/Alaska Native (AI/AN) communities. In partnership with CentraCare, the regional campus in St. Cloud offers a wide range of patient experiences throughout students’ education in Greater Minnesota and prepares them to become exceptional clinicians and leaders for rural and immigrant populations.
Founded in 1888, the University of Minnesota Medical School has three campuses. A four-year MD program and the MD/PhD program are located on the Twin Cities campus in addition to MD programs at regional campuses in Duluth and St. Cloud.
