Biostatistician - School of Public Health
About The Position
We are hiring a Biostatistician (Full-time) to join the UTHealth Houston School of Public Health in Houston. In this role, you will collaborate with investigators to determine study design, contribute to protocol development, and write statistical analysis plans. Develop code to analyze data using statistical software and to perform advanced statistical modeling. Experience with Bayesian spatiotemporal models and machine learning methods is preferred. What we do here changes the world. UTHealth Houston is Texas’ resource for healthcare education, innovation, scientific discovery, and excellence in patient care. That’s where you come in. Position Summary: Provides advanced statistical and data science support for multidisciplinary research using large and complex datasets. Collaborates with investigators on study design, statistical methodology, data analysis, and dissemination of research findings.
Requirements
- Master's Degree in related health science required
- 2 years of statistician experience required
- Experience in data analysis of large administrative datasets (claims, registries, EMR) and observational studies required
- SAS experienced preferred
Nice To Haves
- Doctorate Degree - PhD preferred
- Demonstrated proficiency in statistical modeling, spatial and temporal data analysis, and reproducible research practices, preferred.
- Experience with Bayesian spatiotemporal models and machine learning methods is preferred.
- Experience analyzing large and complex datasets (e.g., raster, geospatial, or observational data) is preferred.
Responsibilities
- Collaborates with investigators to determine study design, contribute to protocol development, and develop statistical analysis plans.
- Supports data management, database maintenance, and quality assurance for operational and research projects.
- Develops systems and standard operating procedures (SOPs) for monitoring data quality across multiple datasets.
- Develops programming code and reproducible workflows for statistical analyses using R, Python, and related software.
- Performs advanced statistical analyses, including linear and generalized linear models, longitudinal, spatial, temporal, and Bayesian spatiotemporal modeling. Experience with machine learning methods is preferred.
- Develops and presents statistical results, including tables, figures, and visualizations, for internal reports, grant applications, and peer-reviewed publications.
- Presents findings to investigators, institutional committees, and other stakeholders.
- Conducts literature reviews and contributes to scientific manuscripts and grant proposals.
- Assists in mentoring graduate student assistants and other research personnel, as needed.
- Performs other duties as assigned.
Benefits
- 100% paid medical premiums for our full-time employees
- Generous time off (holidays, preventative leave day, both vacation and sick time – all of which equates to around 37-38 days per year)
- The longer you stay, the more vacation you’ll accrue!
- Longevity Pay (Monthly payments after two years of service)
- Awesome retirement/pension plan
- Free financial and legal counseling
- Free mental health counseling services
- Gym membership discounts and access to wellness programs
- Other employee discounts including entertainment, car rentals, cell phones, etc.
- Resources for child and elder care
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
