Biostatistician II: Cancer Research & Omics Analytics

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

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.