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About the Role

Under general supervision, assist with the management, cleaning, integration, and analysis of public health and nutrition research data from multiple sources. Support statistical analyses, data collection systems, and reporting activities by preparing datasets, maintaining data integrity, and documenting analytical methods and findings. Completes reports and summaries for management and users including project status reports, problem reports, and progress summaries.

Responsibilities

• Assist in the design, implementation, and management of data analysis workflows for public health and nutrition research projects.
• Support the review and documentation of data structures to facilitate research objectives.
• Provide assistance with statistical analyses by implementing established models and methodologies.
• Work with various types of research data by assisting in organization, formatting, and preliminary evaluation.
• Support the preparation of statistical analysis plans by conducting basic calculations and preliminary data reviews.
• Help maintain data collection systems by supporting data entry, assisting with programming forms, and conducting routine data cleaning procedures.
• Assist in acquiring, cleaning, merging, and managing research data from secondary data sources.
• Screen data for potential issues and assist in documenting and making routine corrections.
• Document data management and basic analysis procedures clearly and maintain well-organized records.
• Support the documentation of statistical approaches and the preparation of summary findings.
• Assist in drafting reports, organizing tables and figures, and assembling written descriptions of methods and results.
• Provide technical and administrative support to researchers and team members.
• Assist in gathering background information and assembling materials for grant proposals.
• Perform other related duties as assigned.

Requirements

• Bachelor’s degree in a relevant field (e.g., epidemiology, public health, biostatistics, nutrition, statistics, clinical research) or equivalent combination of education and experience.
• At least 2 years of professional experience in data collection and analysis, including direct experience with statistical modeling and research datasets.
• Proficiency in statistical programming languages (e.g., R, SPSS, Stata, SAS), data visualization tools (e.g., Tableau, Power BI), and database applications.
• Excellent verbal and written communication skills.
• Detail oriented and ability to organize tasks and prioritize work with minimal supervision.
• Ability to multitask and work cooperatively with others.
• Master’s degree or Ph.D. in nutrition epidemiology or related field preferred.
• Experience working with and accessing local, state and national data sets preferred.
• Experience developing valid, reliable composite scoring and screening instruments preferred.
• Knowledge and understanding of the mission and role of the Land Grant University System preferred.

Skills

• R
• SPSS
• Stata
• SAS
• Tableau
• Power BI

Location

• Dallas, Texas

Work Type

• Flexible work schedules
• Remote work options may be available
• U.S.-based locations only for remote work

Experience Level

• At least 2 years of professional experience

Education Level

• Bachelor's degree in a relevant field or equivalent combination of education and experience
• Master's degree or Ph.D. preferred

Salary/Compensations

• Commensurate with qualifications

Benefits

• Health, dental, vision, life and long-term disability insurance
• 12–15 annual paid holidays
• Up to 8 hours/month sick leave
• At least 8 hours/month vacation
• Automatic enrollment in the Teacher Retirement System of Texas
• Employee Wellness Initiative
• Access to ongoing professional development and training

About the Company

• Texas A&M AgriLife is comprised of the Texas A&M AgriLife Extension Service, Texas A&M AgriLife Research, College of Agriculture and Life Sciences at Texas A&M University, Texas A&M Forest Service, and Texas A&M Veterinary Medical Diagnostic Laboratory.
• As the nation’s largest most comprehensive agriculture program, Texas A&M AgriLife brings together a college and four state agencies focused on agriculture and life sciences within The Texas A&M University System.
• With over 5,000 employees and a presence in every county across the state, Texas A&M AgriLife is uniquely positioned to improve lives, environments and the Texas economy through education, research, extension and service.
• Texas A&M AgriLife collaborates with Prairie View A&M University, Tarleton State University, Texas A&M University-Commerce, Texas A&M University-Kingsville and West Texas A&M University as well as with other public and private partners.

Equal Opportunity

• Equal Opportunity/Veterans/Disability Employer.