Statistician - Children's Learning Institute

About the role

The Children’s Learning Institute (CLI) at UTHealth Houston is seeking a Statistician to support Texas State Initiatives at the intersection of advanced analytics, large-scale data systems, and applied education research. The role involves working with very large, frequently updated datasets and navigating diverse data architectures across multiple projects. Responsibilities include supporting recurring, large-scale reporting (annual, quarterly) and higher-frequency deliverables (e.g., weekly or near-real-time monitoring reports), with a focus on building and maintaining efficient, reproducible, and adaptable analytic workflows.

This position collaborates closely with a faculty manager for substantive and methodological guidance and works with State Education Agencies (SEAs), Local Education Agencies (LEAs), and other stakeholders to generate rigorous, policy-relevant insights from state-level educational data.

Responsibilities

• Conduct statistical analyses and prepare reports.
• Supervise the tabulation of data; edit and analyze final material, including detail and summary tables, graphs, and charts.
• Perform statistical analyses on both large and small datasets.
• Calculate medians, quantities, percentiles, and coefficients of correlation.
• Test data for sampling errors and significant differences between samples.
• Build and maintain analytic workflows to ensure efficiency, reproducibility, and responsiveness to programmatic changes.
• Adapt and maintain legacy SAS code while extending expertise through self-directed learning and collaboration with faculty.
• Support recurring and ad-hoc reporting needs, including annual, quarterly, and near-real-time monitoring reports.
• Perform other duties as assigned.

Requirements

• Bachelor’s Degree in a related field (required).
• 2 years of experience in analysis and presentation of statistical data (required). May substitute required experience with equivalent years of education beyond the minimum education requirement.
• Proficiency in SAS is crucial; experience with additional statistical programming languages (e.g., R or Python) is highly valued.
• Demonstrated experience applying advanced statistical methods commonly used in large-scale education research, such as multilevel and growth models, structural equation models, and IRT.
• Comfort with deepening and extending statistical expertise through self-directed learning and collaboration.
• Strong data engineering instincts and ability to navigate varied data architectures.
• Ability to consult documentation, learn new tools, and adapt code examples to address novel analytic questions.
• Commitment to supporting large, statewide education initiatives that impact children, educators, and systems across Texas.

Benefits

• 100% paid medical premiums for full-time employees.
• Generous time off, including holidays, preventative leave, vacation, and sick time (approximately 37-38 days per year).
• Vacation accrual increases with longevity.
• Longevity Pay (monthly payments after two years of service).
• Retirement/pension plan.
• Free financial and legal counseling.
• Free mental health counseling services.
• Gym membership discounts and access to wellness programs.
• Employee discounts on entertainment, car rentals, cell phones, and more.
• Resources for child and elder care.

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.

Employees must permanently reside and work in the State of Texas. This position is security-sensitive pursuant to Texas Education Code 51.215 and Texas Government Code 411.094. Applicants and employees may be subject to routine reviews, including criminal history checks, to ensure the security and integrity of critical infrastructure.