Biostatistician II

Statistics Interest Group; Salt Lake City (UT); On-site; USD 75,000 - 95,000; Full time

Job summary

The University of Utah's Cancer Biostatistics Shared Resource (CBSR) is seeking a Biostatistician II to perform statistical analyses and collaborate with cancer researchers. The role emphasizes data preparation, methodological rigor, and clear communication of results across multidisciplinary teams.

Candidates should have strong programming skills (SAS, R, or Python), familiarity with Microsoft Office, and the ability to manage multiple projects while meeting deadlines.

Qualifications

• Bachelor’s degree in statistics, biostatistics, data science, or related field with 0–2 years of related work experience, or a Master’s/PhD with relevant experience.
• Proficiency in at least one statistical programming language (SAS, R, Python) and ability to learn new tools.
• Experience with Microsoft Office applications (Word, Excel, PowerPoint).
• Ability to manage multiple projects, communicate statistical concepts clearly to diverse audiences, and work both independently and on a team.
• Familiarity with HPC or cloud computing and with high-dimensional multi-omics data is desirable but not required.

Responsibilities

• Provide basic statistical analysis and programming support.
• Review data for discrepancies and create analysis datasets.
• Prepare and communicate statistical results in written and oral form.
• Conform to statistical programming and analysis standards.
• Collaborate with supervising statisticians and researchers on project needs.
• Communicate effectively with cancer researchers and multidisciplinary teams.

Skills

SAS

R

Python

MS Office

Education

Bachelor’s degree in statistics/biostatistics/data science

Master’s or doctoral degree preferred

Tools

HPC clusters

Cloud computing

LLMs

Job description

University of Utah – Biostatistician II

Company Name University of Utah

Company Information

The Cancer Biostatistics Shared Resource (CBSR) at Huntsman Cancer Institute (HCI) of the University of Utah is seeking a staff statistician to carry out statistical analyses in collaboration with cancer investigators.

We are a group of biostatisticians in CBSR engaged in a wide range of collaborations from basic science, high-dimensional multi-omics data analyses, translational research, epidemiology studies, biomarker selection, to clinical trials at HCI. We interact with other data scientists, bioinformaticians, statisticians, epidemiologists, psychometricians, health economists, survey design researchers, and systematic review experts within the campus. Focus research areas include, although not limited to, the design of clinical trials, observational studies, longitudinal and survival analysis, epidemiologic modeling, Bayesian analysis, modern causal inference, biomarkers analyses, statistical genetics and genomics, computational statistics, systematic review methodology, structural equations modeling, and muti-omics analysis.

Duties and Responsibilities

Essential Functions

• 1. Provides basic statistical analysis and programming support
• 2. Reviews data for discrepancies, interacts with data managers, and creates analysis datasets
• 3. Prepares and communicates statistical results in written and oral summary
• 4. Conforms to statistical programming and analysis standards
• 5. Works collaboratively with supervising and other statisticians in supporting project needs
• 6. Collaborates and communicates effectively with cancer researchers and multidisciplinary research teams.

Problem Solving

Employees in this position work on multiple tasks simultaneously and, as such, may have competing deadlines or time constraints which may require consultation with their supervisor. Employees may encounter concerns about study design, statistical, or data issues in a project they are working on. Employees should discuss these issues and concerns with a supervising statistician before proceeding on the project.

Position Qualifications

The minimum requirement for this position is a bachelor’s degree in statistics, biostatistics, data science, or a related field with up to two years of directly related work experience, or a master’s degree (or equivalent) in a related field. A master’s or doctoral degree with several years of directly related experience is preferred.

Candidates should have familiarity with standard statistical methods and the ability to apply appropriate statistical approaches to research questions. General programming skills and proficiency in at least one statistical programming language, such as SAS, R, or Python, are required, along with the ability to independently learn new programming skills and troubleshoot and solve challenging programming problems.

Experience with Microsoft Office applications, including Word, Excel, and PowerPoint, is required. The successful candidate should be able to manage multiple projects simultaneously, prioritize tasks, meet deadlines, work effectively both independently and collaboratively, and communicate statistical concepts and results clearly to both technical and non-technical audiences. Relevant research or work experience is preferred.

Experience with large language models (LLMs), domain-specific language models, high-performance computing (HPC) clusters, or cloud computing environments is highly desirable but not required. Familiarity with the capabilities and limitations of chatbots and other AI-assisted tools, such as ChatGPT, Microsoft Copilot, or similar technologies, is also preferred.

Experience with the analysis and integration of high-dimensional multi-omics data, including, but not limited to, genomic, transcriptomic, epigenomic, and microbiome data, is preferred but not required. Familiarity with relevant bioinformatics or statistical workflows, including data preprocessing, quality control, analysis, visualization, and biological interpretation, would be an advantage.

Applicants must demonstrate the potential ability to perform the essential functions of the job as outlined in the position description.