The Children's Learning Institute (CLI) at UTHealth Houston is seeking a Senior Statistician to support a range of externally funded research projects focused on improving outcomes for young children, families, educators, and early childhood systems. Current projects primarily involve randomized controlled trials evaluating teacher professional development programs, parenting interventions, coaching models, and other educational and prevention-focused initiatives. The ideal candidate will bring strong quantitative training, broad methodological expertise, advanced analytic skills, and substantial experience managing and analyzing complex datasets with nested and longitudinal data structures.

The Senior Statistician will work closely with a faculty manager and collaborate with faculty investigators and research staff across multiple projects. Under the general guidance of the faculty manager and in collaboration with project staff, major responsibilities include preparing and maintaining analytic datasets, conducting statistical analyses, and helping translate research findings into forms that researchers and other stakeholders can readily understand and use. The Senior Statistician may also provide statistical support for grant applications and other research-related activities as needed. Opportunities for co-authorship on peer-reviewed manuscripts and other scholarly products are available based on contribution, interest, and project needs.

The successful candidate should have demonstrated experience applying advanced quantitative methods commonly used in education and prevention/intervention research, including generalized linear models, mixed-effects and multilevel modeling, growth modeling, structural equation modeling, latent variable and mixture modeling approaches, psychometric analyses, and missing data methods. Proficiency in SAS, including the ability to develop and modify SAS macros, is required, as many existing data management and analytic workflows are implemented in SAS. Experience with additional statistical software such as Mplus, R, SPSS, or Stata is plus. The candidate should also demonstrate strong data management and organizational skills, attention to detail, the ability to manage multiple projects and competing deadlines, and the capacity to independently learn and apply new methods and software tools to address emerging research questions.

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:

Responsible for the design of statistically valid research studies and of the application of advanced statistical methods for conducting analyses and preparing reports.

Position Key Accountabilities:

• Develops valid research study designs.
• Develops advanced statistical models including but not limited to linear regression models, logistical regression models, and trend analyses. Develops and presents reports resulting from statistical models and analyses. Analyzes the final material in the form of reports and records, including detail and summary tables, graphs and charts.
• Performs advanced statistical analyses.
• Develops survey methodologies and questionnaires using acceptable scientific practices.
• Presents results to appropriate institutional committees and groups.
• Supervises the routine tabulation of data and edits. Supervises the calculation of means, medians quantities, percentiles and coefficients of correlation. Supervise Master 's-student and Doctoral-student Graduate Assistants.
• Performs other duties as assigned.

Preferred Certification/Skills:

Strong quantitative and statistical analysis skills.

Demonstrated knowledge of advanced quantitative methods commonly used in education, prevention, and intervention research (e.g., generalized linear models, mixed-effects and multilevel models, growth models, structural equation models, latent variable and mixture modeling approaches, psychometric analyses, item response theory, and missing data handling techniques).

Experience managing, cleaning, documenting, and analyzing complex datasets with nested and longitudinal data structures.

Proficiency in SAS is required, including the ability to understand, maintain, modify, and apply existing SAS programs and macros used for data management and statistical analyses.

Experience with other statistical programs such as Mplus, R, SPSS, or Stata is highly desirable.

Ability to independently learn and apply new statistical methods and software tools.

Strong data management, quality assurance, and reproducible research practices.

Ability to communicate statistical findings to researchers and other audiences.

Strong organizational skills, attention to detail, and ability to manage multiple projects and competing deadlines.

Minimum Education:

Master's Degree in Statistics or research related discipline required

Minimum Experience:

4 years of experience analyzing outcomes resulting from survey data, internal data, and external data required

Physical Requirements:

Exerts up to 20 pounds of force occasionally and/or up to 10 pounds frequently and/or a negligible amount 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.