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Job Description
Biostatisticians | University of Utah Health Research
The Tone:
This is a full-time Biostatistician role at University of Utah Health Research, located in Salt Lake City, UT. The organization is dedicated to advancing health through biomedical and clinical research within an academic setting. This position is vital for ensuring the statistical integrity and accuracy of all research data, directly supporting the development of new products and clinical advancements. The role requires a basic skill set and proficiency, operating under close supervision with limited independent judgment.
The TL;DR
• Role: Full Time
• Type: Day
• Location: In-person, Salt Lake City, UT
• Pay: $42000 yearly
• Team: Department 00239 – Pulmonary
• Mission: Ensure the statistical integrity and accuracy of biomedical or clinical research data to support product development.
• Tech Stack: SAS/STAT, Stata, R
What You’ll Actually Do
• Ensure Data Integrity: Ensure the statistical integrity and accuracy of biomedical or clinical research data throughout various studies.
• Conduct Statistical Analysis: Perform comprehensive statistical design, modeling, and analysis to derive meaningful insights from research data.
• Generate Reports: Develop and provide clear statistical summaries and detailed reports of studies to support ongoing product development efforts.
• Provide Consultation: Consult proactively with scientists and engineers to ensure the proper application of statistical methodology and accurate interpretation of research results.
• Program Statistical Software: Program various statistical software packages, including SAS/STAT, Stata, or R, to enhance the quality and efficiency of life science projects.
• Address Regulatory Inquiries: Potentially respond to questions from regulatory authorities concerning statistical issues related to research studies.
The Must-Haves
• Background: This is an Entry-Level position in the General Professional track. Candidates should possess a strong foundation in statistical principles and their application to biomedical or clinical research.
• Experience: Requires a bachelor’s degree (or equivalency) with two years of directly related work experience, OR a master’s degree (or equivalency). One year of higher education can substitute for one year of directly related work experience.
• Skills: Proficiency in performing statistical design, modeling, and analysis; ability to provide clear statistical summaries and reports; strong consultative skills for collaborating with scientists and engineers; and adeptness in programming statistical software packages such as SAS/STAT, Stata, or R.