Biostatistician-Intermediate

UT Health San Antonio•San Antonio, TX

About The Position

The Population Neuroscience Core (PNC) within the Glenn Biggs Institute for Alzheimer’s & Neurodegenerative Diseases at UT Health San Antonio is seeking a Biostatistician to support collaborative research on brain aging and Alzheimer’s disease. The role provides statistical and data-analytic support across epidemiologic and population-based research programs, working with faculty investigators, epidemiologists, clinicians, research staff, and trainees to design studies, conduct analyses, manage and harmonize 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, the South Texas Alzheimer’s Disease Research Center, MarkVCID, the Cross-Cohorts Consortium, and other national and international consortia. Research datasets may include longitudinal clinical and cognitive assessments, psychosocial measures, neuroimaging, biomarkers, genomic and other omics data, and wearable or sensor data. The successful candidate will have strong knowledge of statistical methods used in epidemiologic research, particularly for longitudinal and repeated-measures data, and proficiency in R and statistical programming. The position requires careful, reproducible analytical work, clear communication with non-statistical collaborators, strong organization and collaboration, and the ability to manage multiple projects and priorities. A master’s degree in biostatistics, statistics, epidemiology, or a directly related field and three years of experience are required.

Requirements

Master’s degree in biostatistics, statistics, epidemiology, or another recognized field of science or learning directly related to the position’s duties.
Three years of experience.
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.
Strong attention to detail and ability to develop well-documented, reproducible analytical workflows.
Strong written and verbal communication skills, including the ability to explain statistical concepts and findings clearly to investigators and other non-statistical collaborators.
Strong organizational, interpersonal, and collaborative skills.
Ability to manage multiple projects and priorities and work effectively as part of a multidisciplinary research team.

Nice To Haves

Experience with clinical, epidemiologic, or population-based research methods and study design.
Experience analyzing research data and using statistical software, preferably R.
Experience with data manipulation, cleaning, quality control, and preparation of analysis-ready datasets.
Experience with statistical methods for longitudinal or repeated-measures data.
Experience with causal inference methods.
Experience working with large longitudinal cohort studies or complex biomedical datasets.
Experience with neuroimaging, biomarkers, genomics or other omics, wearable or sensor data, or multisite studies.

Responsibilities

Perform statistical analyses for epidemiologic research studies and select appropriate methods based on study design, particularly for longitudinal and repeated-measures data.
Clean, manage, and analyze complex research datasets; conduct data quality control and validation; and maintain documentation, data dictionaries, and analysis-ready datasets.
Assist with sample size and power calculations.
Support harmonization of variables, measures, and analytical approaches across studies and cohorts.
Develop statistical programs, tables, charts, and graphs to communicate research findings.
Contribute to manuscripts, abstracts, presentations, research reports, and grant applications, including preparing statistical methods and results.
Maintain clear documentation of data processing, analytical datasets, statistical programming, and quality-control procedures.
Collaborate with investigators, data coordinators, and research staff to support high-quality, reproducible analyses across clinical, cognitive, neuroimaging, biomarker, omics, and wearable datasets.
Maintain statistical software and computing resources used for research analyses.
Perform other duties as assigned.

Benefits

Medical insurance, including UT SELECT coverage offered free for employees.
Group term life insurance and basic accidental death and dismemberment insurance at no cost, with options to purchase additional coverage.
Three dental insurance plan options.
Two vision plan options.
Disability insurance enrollment option.
Flexible spending accounts for qualifying dependent care and health care expenses.
Retirement plan eligibility through TRS or ORP, with voluntary retirement programs also available.
Paid time off of 128 to 208 hours per fiscal year, based on years of service.
Extended Illness Bank accrual of 8 hours per month.
Paid family leave of up to 240 hours after six months of consecutive employment.
Twelve paid holidays each year.
Discounts on services, tickets, and gym membership.