Research Professional 5-Biostatistician
University of Minnesota, Saint Paul, MN, United States
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
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.
Qualifications
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.
Pay and Benefits
Pay Range:
The starting salary for this position ranges from $82,000 to $110,000, based on education and experience/qualifications.
Time Appointment:
100% A Appointment.
Position Type:
Faculty and P&A Staff.
Please visit the Office of Human Resources website for more information regarding benefit eligibility.
The University offers a comprehensive benefits package that includes:
Competitive wages, paid holidays, and generous time off.
Continuous learning opportunities through professional training and degree‑seeking programs supported by the Regents Tuition Benefit Program.
Low‑cost medical, dental, and pharmacy plans.
Healthcare and dependent care flexible spending accounts.
University HSA contributions.
Disability and employer-paid life insurance.
Employee wellbeing program.
Excellent retirement plans with employer contribution.
Public Service Loan Forgiveness (PSLF) opportunity.
Financial counseling services.
Employee Assistance Program with eight sessions of counseling at no cost.
Employee Transit Pass with free or reduced rates in the Twin Cities metro area.
Employment Requirements
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.
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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
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.
Qualifications
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.
Pay and Benefits
Pay Range:
The starting salary for this position ranges from $82,000 to $110,000, based on education and experience/qualifications.
Time Appointment:
100% A Appointment.
Position Type:
Faculty and P&A Staff.
Please visit the Office of Human Resources website for more information regarding benefit eligibility.
The University offers a comprehensive benefits package that includes:
Competitive wages, paid holidays, and generous time off.
Continuous learning opportunities through professional training and degree‑seeking programs supported by the Regents Tuition Benefit Program.
Low‑cost medical, dental, and pharmacy plans.
Healthcare and dependent care flexible spending accounts.
University HSA contributions.
Disability and employer-paid life insurance.
Employee wellbeing program.
Excellent retirement plans with employer contribution.
Public Service Loan Forgiveness (PSLF) opportunity.
Financial counseling services.
Employee Assistance Program with eight sessions of counseling at no cost.
Employee Transit Pass with free or reduced rates in the Twin Cities metro area.
Employment Requirements
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.
#J-18808-Ljbffr