Biostatistician II

Utah; Salt Lake City (UT); Hybrid; USD 44,000 - 71,000; Full time

Job summary

Huntsman Cancer Institute at the University of Utah is seeking a staff statistician to perform statistical analyses in collaboration with cancer investigators. The role involves a wide range of projects from high-dimensional multi-omics to clinical trials, requiring collaboration with data scientists, biostatisticians, epidemiologists, and researchers across campus.

Applicants must demonstrate ability to perform essential functions and contribute to the institute's mission to reduce the cancer

Qualifications

• Bachelor’s degree in statistics, biostatistics, data science, or related field.
• Master’s or doctoral degree with several years of relevant experience preferred.
• Experience with SAS, R, or Python for statistical analysis.

Responsibilities

• Provides basic statistical analysis and programming support.
• Reviews data for discrepancies and creates analysis datasets.
• Prepares and communicates statistical results in written and oral form.
• Conforms to statistical programming and analysis standards.
• Works collaboratively with supervising statisticians and cancer researchers.
• Communicates statistical concepts clearly to technical and non-technical audiences.

Skills

Statistical analysis

Programming

Collaboration

Communication

Education

Bachelor’s degree in statistics/biostatistics/data science

Master’s or doctoral degree preferred

Tools

SAS

R

Python

Job description

Job Title: Biostatisticians

Working Title: Biostatistician II

Location: Campus, Salt Lake City, UT

Pay Rate Range: $43,796 to $70,591

Standard Hours per Week: 40

Full Time or Part Time: Full Time

Department: 01216 - HCI CANCER BIOSTATISTICS

Type of Recruitment: External Posting

Job Summary

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.

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

Huntsman Cancer Institute is committed to cancer prevention, care, and survivorship for all communities within the area we serve – which includes Idaho, Montana, Nevada, Utah, and Wyoming – with impact worldwide.

In your cover letter or during your interview process, we invite you to share how your professional experiences have prepared you to serve as a member of our team as we work to reduce the cancer burden experienced by all people and communities. This may include description of your prior experiences related to research, prevention, clinical care, community engagement/outreach, training, administration, or other areas relevant to Huntsman Cancer Institute’s mission and this position.

Learn more about the great benefits of working for University of Utah: benefits.utah.edu

The department may choose to hire at any of the below job levels and associated pay rates based on their business need and budget.

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.

Disclaimer

This job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

Minimum Qualifications

EQUIVALENCY STATEMENT : 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).

Department may hire employee at one of the following job levels

Biostatistician, II: Requires a bachelor’s (or equivalency) + 4 years or a master’s (or equivalency) + 2 years of directly related work experience.

Preferences

Bachelor’s degree in statistics, biostatistics, data science, or 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 preferred, 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 preferred. 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.

Type Benefited Staff

Special Instructions Summary

Additional Information

The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at [phone] for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS’ post-retirement rules and restrictions. Please contact Utah Retirement Systems at [phone] or [phone] or University Human Resource Management at [phone] if you have questions regarding the post-retirement rules.

This position may require the successful completion of a criminal background check and/or drug screen.

The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.

Veterans’ preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.

Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran’s status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.

To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX ( OEO ). More information, including the Director/Title IX Coordinator’s office address, electronic mail address, and telephone number can be located at the: University of Utah Non-Discrimination page. Online reports may be submitted at https://oeo.utah.edu

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As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.