Biostatistician
Listed on 2026-07-18
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Research/Development
Data Scientist -
IT/Tech
Data Scientist, Data Analyst
Overview
Biostatistician I – The Department of Medicine’s Division of Oncology at Dell Medical School seeks a grant‑funded, exempt biostatistician to support translational cancer research. The position is funded through August 31, 2029.
Responsibilities- Design and implement statistical studies: develop analysis plans, support sample size estimates, choose methodology, and design workflows for molecular and clinical datasets.
- Apply standard statistical techniques to multi‑omics, genomic, and clinical outcome data; validate data integrity; reproduce results using documented analytic workflows.
- Interpret analytic outputs and prepare statistical summaries, tables, and figures for manuscripts, grant applications, and reports.
- Collaborate with faculty, clinicians, and computational researchers; 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; create reproducible workflows and basic visualizations; integrate datasets from public domain sources, institutional repositories, and internal pipelines; document all preparation steps.
- Ensure compliance with HIPAA, IRB protocols, and institutional guidelines for human subjects and genomic data handling; support audits and compliance reviews.
- Develop tables, figures, and code‑generated outputs for manuscripts, conference presentations, progress reports, and grant submissions.
- Strong analytical skills to analyze large, complex genomic, molecular, and clinical datasets.
- Proficiency in R, Python, SAS, SQL, or comparable tools; familiarity with data visualization, reproducible research practices, and version control (e.g., Git).
- Experience collaborating effectively with interdisciplinary scientific and clinical teams.
- Attention to detail, ensuring accuracy and reproducibility in data processing and statistical modeling.
- Problem‑solving ability: identify statistical challenges, recommend solutions, and refine analytic workflows.
- Minimum:
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.
- Preferred:
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.
$66,229+ depending on qualifications.
Equal Opportunity EmployerThe University of Texas at Austin, as an equal‑opportunity/affirmative‑action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
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