University of Utah Health Research · 19 hours ago
Biostatisticians
University of Utah Health Research is seeking a highly motivated Master’s-level biostatistician to join their Study Design and Biostatistics Center. The successful candidate will collaborate with clinical and translational researchers on high-impact projects in biomedical research, focusing on statistical programming, data management, and analysis.
Higher Education
Responsibilities
Clean and manage large, complex datasets; develop reproducible code pipelines, implement quality assurance checks, and maintain clear documentation
Write statistical analysis plans and perform sample size calculations; conduct data analyses; generate reports and graphical summaries; and contribute to presentations and publications
Have a solid foundation in statistical methods, including multivariable regression, longitudinal data analysis, categorical data analysis, and survival analysis
Conduct comparative effectiveness analysis using modern causal inference methods such as inverse probability weighting and related approaches
Implement target trial emulation framework using large-scale observational data sources, including electronic health records
Write accurate, modular, and well-documented R code with an emphasis on reproducibility and transparency
Collaborate effectively with investigators from diverse disciplines and communicate statistical results clearly to both technical and non-technical audiences
Qualification
Required
Master's degree in Biostatistics, Statistics, Data Science, or a related quantitative field
Solid knowledge of standard statistical analysis procedures, especially survival analysis and longitudinal data analysis
Proficiency in R programming, with demonstrated ability to write accurate, efficient, and well-documented code; experience developing R packages or analytic pipelines is highly desirable
Experience working with large-scale observational data, including data wrangling, cleaning, and harmonization
Familiar with comparative effectiveness research and basic causal inference methods (e.g., counterfactual framework, inverse probability weighting)
Excellent verbal and written communication skills, with the ability to explain technical concepts clearly to non-statistical audiences
Demonstrated initiative and ownership of analytic tasks, with strong organizational skills and the ability to manage multiple projects simultaneously
Genuine enthusiasm for learning and applying new statistical methods in collaborative, interdisciplinary research settings
Preferred
Experience applying target trial emulation frameworks using observational data
Experience using Python for statistical programming and data science applications
Experience using AI-assisted tools (e.g., ChatGPT, GitHub Copilot) to enhance productivity and code quality
Strong organizational skills with the ability to manage competing priorities and meet project deadlines
Demonstrated ability to work effectively in a collaborative, interdisciplinary research team
Prior experience in biomedical or clinical research is desirable but not required
At least one year of experience in a statistical consulting or statistical programming role
Meticulous attention to code accuracy, reproducibility, and documentation; experience with version control systems (e.g., Git) is a plus
Self-motivated and committed to producing high-quality, impactful research in a collaborative setting
Benefits
Health Insurance
Company
University of Utah Health Research
At University of Utah Health, our world-class researchers work together to tackle some of the toughest problems in health and medicine.
H1B Sponsorship
University of Utah Health Research has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2020 (1)
Funding
Current Stage
Late StageCompany data provided by crunchbase