Biostatistician - School of Public Health

Biostatistician (Full-time)

We are hiring a Biostatistician 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.

Once you join us you won't want to leave. It's because we reward our team for the excellent service they provide. Our total rewards package includes the benefits you'd expect from a top healthcare organization (benefits, insurance, etc.), plus:

• 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)
• Build your future with our awesome retirement/pension plan!

We take care of our employees! As a world-renowned institution, our employees' wellbeing is important to us. We offer work/life services such as...

• 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
• Plus many more!

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.

Position Key Accountabilities:

• 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.

Certification/Skills:

• 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.

Minimum Education:

• Master's Degree in related health science required Doctorate Degree - PhD preferred

Minimum Experience:

• 2 years of statistician experience required Experience in data analysis of large administrative datasets (claims, registries, EMR) and observational studies required SAS experienced preferred

Physical Requirements: Exerts up to 50 pounds of force occasionally and/or up to 20 pounds frequently and/or up to 10 pounds constantly to move objects.

Security Sensitive: This position is a security-sensitive position pursuant to Texas Education Code §51.215 and Texas Government Code §411.094. To the extent that a position requires the holder to research, work on, or have access to critical infrastructure as defined in Texas Business and Commerce Code §117.001(2), the ability to maintain the security or integrity of the infrastructure is a minimum qualification to be hired for and to continue to be employed in that position. Personnel in such positions, and similarly situated state contractors, will be routinely reviewed to determine whether things such as criminal history or continuous connections to the government or political apparatus of a foreign adversary might prevent the applicant, employee, or contractor from being able to maintain the security or integrity of the infrastructure. A foreign adversary is a nation listed in 15 C.F.R. §791.4.

Residency Requirement: Employees must permanently reside and work in the State of Texas.