Biostatistician - Longitudinal Epidemiology & Neuroimaging

Fa Eomf Saasfaprod1; San Antonio (TX); Vor Ort; USD 75.000 - 110.000; Vollzeit

Zusammenfassung

UT Health San Antonio's Population Neuroscience Core seeks a Biostatistician to provide statistical and data-analytic support for epidemiologic and population-based studies. The role emphasizes longitudinal analyses, data harmonization, and collaborative work with investigators, clinicians, and trainees.

The successful candidate will develop and implement statistical methods, create analysis-ready datasets, and contribute to manuscripts and grant applications while maintaining clear

Qualifikationen

• A Master’s degree in biostatistics, epidemiology, or another recognized field related to the duties is required.
• Three years of experience in epidemiologic or population-based research is required.
• Experience with longitudinal or repeated-measures data is preferred.

Aufgaben

• Performs statistical analyses for epidemiologic research studies and selects appropriate statistical methods for longitudinal/repeated-measures data.
• Cleans, manages, and analyzes complex datasets; performs data quality control and maintains documentation.
• Assists with sample size and power calculations.
• Supports harmonization of variables and analytical approaches across studies and cohorts.
• Develops programs, tables, charts, and graphs to communicate findings; contributes to manuscripts and grant applications.
• Maintains documentation of data processing and statistical workflows.
• Collaborates with investigators, data coordinators, and staff for reproducible analyses across diverse datasets.

Kenntnisse

Longitudinal analysis

Statistical methods

R programming

Data management

Collaboration

Communication

Ausbildung

Master's degree in Biostatistics or Epidemiology

Tools

R software

Jobbeschreibung

UT Health San Antonio's Population Neuroscience Core seeks a Biostatistician to provide statistical and data-analytic support for epidemiologic and population-based studies. The role emphasizes longitudinal analyses, data harmonization, and collaborative work with investigators, clinicians, and trainees.

The successful candidate will develop and implement statistical methods, create analysis-ready datasets, and contribute to manuscripts and grant applications while maintaining clear