Biostatistician I: Translational Cancer Analytics

University of Texas at Austin Staff; Austin (TX); On-site; USD 66,000 - 90,000; Full time

Job summary

The University of Texas at Austin in Austin, TX, seeks a Biostatistician I to support translational cancer research within the Department of Medicine. You will perform statistical analyses, manage molecular/genomic/clinical datasets, and contribute to computational workflows under supervision of senior statisticians and faculty.

Responsibilities include study design, sample size estimation, data integration, reproducible workflows, and drafting statistical sections for manuscripts and grants.

Qualifications

• Master's degree in statistics/biostatistics or equivalent with coursework in statistics.
• Proficiency in SAS and at least one additional statistical package.
• Experience with clinical, genomic, or translational data is preferred.

Responsibilities

• Design and implement statistical studies for translational cancer research.
• Perform analyses of genomic, molecular, and clinical datasets using R, Python, SAS or similar tools.
• Collaborate with clinicians and researchers on data integration and interpretation.
• Develop reproducible workflows and prepare tables/figures for manuscripts and grants.

Skills

R

Python

SAS

SQL

Statistical analysis

Education

Master's Degree in Statistics or Biostatistics

Equivalent combination of education and experience

Proficiency in at least two statistical software packages (SAS, R, Stata, SPSS)

Tools

Git

Job description

The University of Texas at Austin in Austin, TX, seeks a Biostatistician I to support translational cancer research within the Department of Medicine. You will perform statistical analyses, manage molecular/genomic/clinical datasets, and contribute to computational workflows under supervision of senior statisticians and faculty.

Responsibilities include study design, sample size estimation, data integration, reproducible workflows, and drafting statistical sections for manuscripts and grants.