Biostatistician I

University of Texas at Austin•Austin, TX

28d•$66,229

About The Position

The Biostatistician I supports translational cancer research within the Department of Medicine’s Division of Oncology. Under the supervision of senior statisticians and research faculty, the role performs statistical analyses, manages clinical and molecular datasets, and contributes to computational workflows. The position assists with study design, data integration, reproducibility, and interpretation of results for projects involving molecular, genomic, and clinical cancer datasets. This is a grant-funded position, with funding currently anticipated through August 31, 2029. The position is based in Austin, Texas, and is scheduled for 40 hours per week. The role may involve standard office conditions and repetitive keyboard use at a workstation.

Requirements

Master’s degree in Statistics, Biostatistics, or a closely related field, or an equivalent combination of education and experience with major coursework in statistics.
Proficiency in at least two statistical software packages, such as SAS, R, Stata, or SPSS.
Ability to analyze large, complex genomic, molecular, and clinical datasets and derive meaningful insights.
Proficiency in R, Python, SAS, SQL, or comparable tools for statistical and computational analysis.
Ability to work effectively with interdisciplinary scientific and clinical teams.
Attention to accuracy and reproducibility in data processing, statistical modeling, and documentation.
Ability to identify statistical challenges, recommend solutions, and contribute to refining analytic workflows.

Nice To Haves

Experience with clinical, molecular, or genomic data analysis in a biomedical research environment.
Familiarity with cancer research, translational pipelines, or multi-omics analysis.
Experience developing analytic workflows, supporting manuscripts, or contributing to grant submissions.
Familiarity with data visualization, reproducible research practices, and version control tools such as Git.

Responsibilities

Assist in developing statistical analysis plans for translational cancer research studies.
Support sample-size estimations, methodology selection, and workflow design for molecular and clinical datasets.
Apply standard statistical techniques to multi-omics, genomic, and clinical outcome data.
Ensure statistical approaches align with regulatory and research rigor expectations.
Perform statistical analyses of cancer genomics, molecular profiling, and clinical datasets using R, Python, SAS, or similar tools.
Validate data integrity and reproduce results using documented analytic workflows.
Interpret analytic outputs with guidance from senior statisticians and faculty.
Prepare statistical summaries, tables, and figures for manuscripts, grants, and reports.
Work with faculty, clinicians, and computational researchers to interpret statistical results and refine analyses.
Participate in study meetings and contribute to data-driven decision-making.
Support protocol development, data requests, and integration of molecular and clinical datasets.
Maintain, clean, and curate research databases containing molecular, genomic, and clinical data.
Create reproducible workflows and basic data visualizations.
Integrate datasets from public-domain sources, institutional repositories, and structured internal pipelines.
Document data preparation steps to ensure scientific rigor.
Follow HIPAA, IRB protocols, and institutional guidelines for human-subjects research and genomic data handling.
Ensure secure and ethical management of patient-derived molecular data.
Participate in audits or compliance reviews when required.
Develop tables, figures, and code-generated outputs for manuscripts, conference presentations, progress reports, and grant applications.
Support drafting components of statistical or computational methods sections.
Adhere to internal controls, reporting structure, and departmental requirements.
Perform other related duties as assigned.