Job Description

The Population Neuroscience Core (PNC) within the Glenn Biggs Institute for Alzheimer's & Neurodegenerative Diseases at The University of Texas Health Science Center at San Antonio (UT Health San Antonio) is seeking an exceptional Biostatistician to join a dynamic, collaborative research team conducting cutting-edge research on brain aging and Alzheimer's disease. This position is particularly well suited for a biostatistician or data analyst who enjoys working collaboratively with investigators and applying statistical methods to complex, real-world epidemiologic data.

The Biostatistician will provide statistical and data-analytic support across the Core's portfolio of epidemiologic and population-based research programs. The position will work closely with faculty investigators, epidemiologists, clinicians, research staff, and trainees to design studies, develop and implement statistical analyses, manage and harmonize complex research datasets, interpret findings, and contribute to scientific publications and grant applications.

The PNC supports large-scale longitudinal cohort studies and collaborative research initiatives, including the San Antonio Heart and Mind Study (SAHMS), the South Texas Alzheimer's Disease Research Center, MarkVCID, the Cross-Cohorts Consortium, and other national and international consortia. Our research datasets are richly phenotyped and may include longitudinal clinical and cognitive assessments, psychosocial measures, neuroimaging, biomarkers, genomic and other omics data, and wearable/sensor data.

Responsibilities

• Performs statistical analyses for epidemiologic research studies and selects appropriate statistical methods based on study design, with particular emphasis on longitudinal and repeated-measures data.
• Cleans, manages, and analyzes complex research datasets; performs data quality control and validation and maintains documentation, data dictionaries, and analysis-ready datasets.
• Assists with sample size and power calculations
• Supports harmonization of variables, measures, and analytical approaches across multiple studies and cohorts.
• Develops statistical programs, tables, charts, and graphs to communicate research findings; contributes to manuscripts, abstracts, presentations, and grant applications.
• Maintains clear documentation of data processing, analytical datasets, statistical programming, and quality-control procedures.
• Collaborates with investigators, data coordinators, and research staff to support high-quality, reproducible analyses across diverse datasets, including clinical, cognitive, neuroimaging, biomarker, omics, and wearable data.
• Maintains statistical software and computing resources used for research analyses.
• Assists investigators with preparation of statistical methods and results for scientific publications, abstracts, presentations, research reports, and grant applications.
• Performs all other duties as assigned.

Qualifications

• The successful candidate will have strong knowledge of statistical methods and their application to epidemiologic research, including longitudinal and repeated-measures data. Proficiency in R and statistical programming, with demonstrated ability to clean, manipulate, analyze, and visualize research data, is expected. Strong attention to detail and the ability to develop well-documented, reproducible analytical workflows are essential.
• The candidate should have strong written and verbal communication skills, including the ability to explain statistical concepts and research findings clearly to investigators and other non-statistical collaborators. Strong organizational, interpersonal, and collaborative skills are essential, as is the ability to manage multiple projects and priorities and work effectively as part of a multidisciplinary research team.

Education:

• A Master's degree in biostatistics, statistics, epidemiology, or another recognized field of science or learning directly related to the duties of the position is required.

Experience:

• Three (3) years of experience is required.

Preferred Experience:

• Clinical, epidemiologic, or population-based research methods and study design.
• Statistical analysis of research data.
• Statistical programming and demonstrated ability to perform analyses using statistical software, preferably R.
• Data manipulation, cleaning, quality control, and preparation of analysis-ready datasets.
• Statistical methods appropriate for longitudinal or repeated-measures data.
• Experience with causal inference methods is desirable.
• Experience working with large longitudinal cohort studies or complex biomedical datasets is highly desirable.
• Experience with neuroimaging, biomarkers, genomics/omics, wearable or sensor data, or multisite studies is a plus.

About Us

The University of Texas at San Antonio (UT San Antonio) is a nationally recognized, top-tier public research university that unites the power of higher education, biomedical discovery and healthcare within one visionary institution. As the third-largest research university in Texas and a Carnegie R1-designated institution, UT San Antonio is a model of access and excellence - advancing knowledge, social mobility and public health across South Texas and beyond. UT San Antonio serves approximately 42,000 students in 320 academic programs spanning science, engineering, medicine, health, liberal arts, AI, cybersecurity, business, education and more. With 17,000 faculty and staff, UT San Antonio has been recognized by Forbes as one of America's Best Employers for Company Culture.

Benefits Overview

UT Health San Antonio offers an excellent benefits package for its employees. Employees who work at least 20 hours a week, with an appointment of at least 4.5 months, are eligible for benefits.

Medical - UT SELECT Medical insurance is offered free for employees and administered by Blue Cross and Blue Shield of Texas. Family members can be added to the plan through payroll deduction. Employees and their dependents can also receive discounted copays and coinsurance when using UT Health Physicians, a network of 800 premier physicians including more than 100 specialists. Employees receive $50,000 of group term life insurance and $50,000 of basic accidental death and dismemberment insurance for free, with options to purchase additional employee and dependent coverage for both at group rates.

Dental - Three dental insurance plan options are available for employees and their families through Delta Dental Insurance Company, two PPOs and one dental HMO plan. Both PPO plans allow employees to choose any licensed dentist.

Vision - Fully insured Vision Care benefits are offered by Superior Vision Services. Two vision plan options that offer either standard or enhanced vision benefits.

Disability - Employees can enroll in the Disability Insurance which provides income if a non-work related illness or injury prevents you from working.

FSAs - Employees can enroll in flexible spending accounts (FSAs) to set aside money from earnings before taxes for qualifying dependent day care expenses or out-of-pocket health care expenses.

Retirement - Employees are eligible for either the Teacher Retirement System (TRS) or the Optional Retirement Plan (ORP). TRS is a defined benefit retirement plan which UT Health matches employee contributions. ORP is for eligible faculty staff employees. Voluntary retirement programs are also available to invest before- or after-tax dollars with the choice of five quality retirement plan providers.

Time Off - A generous leave program offers multiple paid leave options:

• Front-loaded Paid Time Off: 128 to 208 hours (16 to 26 days) of Paid Time Off based on years of service, given at the start of each fiscal year. PTO may be prorated in year one based on date of hire.
• Extended Illness Bank: 8 hours (1 day) accrued per month which can be used for illness or injury after one day of Paid Time Off is taken.
• Paid Family Leave: Up to 240 hours (6 weeks) to care for a spouse, child, or parent after 6 months of consecutive employment.
• Holidays: 12 set paid holidays each year.

Discounts - Employees enjoy a range of discounts on services, tickets, and gym membership.

EEO Statement

UT Health San Antonio is an equal employment opportunity and affirmative action employer. It is our policy to promote and ensure equal employment opportunity for all individuals without regard to race, color, religion, sex, gender identity, national origin, age, sexual orientation, disability, or veteran status.

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