Biostatistician

Seeking to hire a full-time biostatistician to join Dr. Alexis

C. Wood’s research group at the USDA/ARS Children’s Nutrition Research Center (CNRC), Baylor College of Medicine. Dr. Wood leads a multidisciplinary research program focused on the analysis of large-scale ‘omics data from longitudinal observational cohort studies to examine pathways linking lifestyle behaviors, including nutrition, to health. While much of the group’s work centers on chronic diseases of aging (e.g., type 2 diabetes, Alzheimer’s disease), the lab also maintains a growing pediatric research portfolio applying similar analytic paradigms to early-life data.

This position will focus on the applied implementation of epidemiologic analysis methods within grant-funded research studies, rather than the development of novel analytic methodology. The Statistician will work closely with Dr. Wood and collaborators to review, refine, and execute analytic plans specified in funded applications. Core responsibilities include managing cohort datasets; conducting analyses using R; documenting and communicating analytic decisions, and summarizing results in a way that supports manuscript development.

Cover Letters are strongly encouraged.

• Conduct statistical analyses and reports.
• Maintain databases for clinical and translational research.
• Use standard statistical methods for research analysis and reporting.
• Design and develop analysis plans for biomedical research questions.
• Analyze and interpret data for various research grants, particularly statistical analyses from large and cohort data, calculating coefficients of correlation, tests of association and tests of difference etc.
• Provide visualizations of results, as needed.
• Keep informed of and use contemporary R packages to implement statistical techniques.
• Assist and train users in statistical analysis.
• Analyze data for studies examining the role of nutrition in human health and disease.
• Apply standard association analysis methods to genome-, epigenome-, proteome-, and metabolome-wide analyses.
• Analyze large-scale cohort data.
• Understand longitudinal analysis methods.
• Work in an NIH-funded academic environment.
• Perform other job-related duties as assigned.

• Bachelor's degree in Statistics, Biostatistics or a related field.
• Two years of relevant experience.

• Master’s degree in Epidemiology, Biostatistics, Statistics, Data Science, Experimental Design, or a closely related field.
• Experience working with longitudinal observational cohort data, particularly within NIH- or academically funded research environments.

This position is not eligible for visa sponsorship. Candidates must be legally authorized to work in the United States at the time of application and throughout the duration of employment.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.