Biostatistician II, Department of Emergency Medicine

Biostatistician II, Department of Emergency Medicine

Company:
The University of Arizona

Job Location:
Tucson, 85724

Category:
Laboratory and Research

Type:
Full-Time

Posting Number: req25616

Department: Dept of Emergency Medicine

Location: Tucson Campus

Address: 1501 N. Campbell Ave., Tucson, AZ 85719 USA

Position Highlights

The Department of Emergency Medicine, Division of EMS is seeking a Biostatistician II who will play a key role in the analysis and interpretation of complex research data for various clinical and scientific projects. This position will utilize a wide range of advanced statistical software, methods, and techniques to gather, analyze, and derive meaningful insights that contribute to ongoing research efforts. The ideal candidate will have experience executing and evaluating machine learning models, ensuring that all processes are executed with precision and adhere to the highest clinical research standards.

Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; state retirement plan; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocation services, please click here.

Duties & Responsibilities

• Use a variety of advanced statistical methods and software to analyze large datasets, identifying key patterns, trends, and insights that inform research outcomes.
• Provide actionable insights and interpretations of research data for clinical studies and scientific projects.
• Ensure that all data analysis adheres to the highest standards of clinical research, including best practices for data integrity, validity, and reproducibility.
• Build and maintain data sets used for data entry and project reports.
• Collaborate with clinical research teams to maintain rigorous standards for data management, ensuring research findings are reliable and consistent.
• Evaluate model performance, adjusting parameters and approaches to enhance accuracy and predictive capabilities.
• Collaborate with interdisciplinary research teams to interpret data findings and provide statistical guidance.
• Present analysis results to stakeholders through clear, concise reports and presentations.
• Write the methods and results section of scientific manuscripts for publication.

Knowledge, Skills & Abilities:

• Ability to communicate effectively with different groups/individuals while working in a team environment.
• Ability to handle confidential and sensitive information.
• Computer proficiency.
• Proficiency with at least one statistical software package, like R, SAS, SPSS, or STATA.
• Excellent problem solving, organizational, written and oral communication skills.
• Ability to manage multiple priorities and attention to detail is critical.
• Ability to prioritize workload to meet project deadlines.

This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve.

Minimum Qualifications

• Master's Degree required.
• Three (3) years of relevant work experience required.

FLSA: Exempt

Full Time/Part Time: Full Time

Number of Hours Worked per Week: 40

Job FTE: 1.0

Work Calendar: Fiscal

Job Category: Research

Benefits Eligible: Yes - Full Benefits

Rate of Pay: $65,687 - $85,393

Compensation Type: salary at 1.0 full-time equivalency (FTE)

Grade: 9

Career Stream and Level: PC2

Job Family: Research & Data Analysis

Job Function: Research

Type of criminal background check required: Name-based criminal background check (non-security sensitive)

Number of Vacancies: 1

Contact Information for Candidates:
Meronda Lindberg, mlindberg@arizona.edu

Open Until Filled: Yes

Documents Needed to Apply: Resume and Cover Letter

Special Instructions to Applicant:
Application: The online application should be completed in its entirety. Blank or missed information may be considered an incomplete submission.
Cover Letter: Should clearly indicate how your skills and professional employment experience meet the Minimum qualifications.