Biostatistician II

The Cancer Biostatistics Shared Resource (CBSR) at Huntsman Cancer Institute (HCI) of the University of Utah is seeking a staffstatistician to carry out statistical analyses in collaboration with cancer investigators. We are a group of biostatisticians in CBSR engaged in a wide rangeof collaborations from basic science, high-dimensional multi-omicsdata analyses, translational research, epidemiology studies,biomarker selection, to clinical trials  interact withother data scientists, bioinformaticians, statisticians,epidemiologists, psychometricians, health economists, survey designresearchers, and systematic review experts within the campus.

Focusresearch areas include, although not limited to, the design of clinical trials, observational studies, longitudinal and survivalanalysis, epidemiologic modeling, Bayesian analysis, modern causal inference, biomarkers analyses, statistical genetics and genomics,computational statistics, systematic review methodology, structuralequations 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, weinvite you to share how your professional experiences have prepared you to serve as a member of our team as we work to reduce thecancer 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 joblevels and associated pay rates based on their business need andbudget.

• 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 andoral summary
• 4. Conforms to statistical programming and analysis standards
• 5. Works collaboratively with supervising and other statisticiansin supporting project needs
• 6. Collaborates and communicates effectively with cancerresearchers and multidisciplinary research teams.

Employees in this position work on multiple tasks simultaneously and, as such, may have competing deadlines or time constraintswhich may require consultation with their supervisor. Employees mayencounter concerns about study design, statistical, or data issuesin a project they are working on. Employees should discuss theseissues and concerns with a supervising statistician beforeproceeding on the project.

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 asa comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

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

• 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 independentlylearn new programming skills and troubleshoot and solve challengingprogramming problems.
• Experience with Microsoft Office applications, including Word,Excel, and PowerPoint is preferred. The successful candidate…