Biostatistician I

About the role

The Dell Medical School is seeking a Biostatistician I for a grant-funded position with funding anticipated through August 31, 2029. This role supports translational cancer research within the Department of Medicine’s Division of Oncology.

Responsibilities

• Designs and implements statistical studies
• Affords assistance in developing statistical analysis plans for translational cancer research studies
• Supports sample size estimations, methodology selection, and workflow design for molecular and clinical datasets
• Applies standard statistical techniques to multi-omic, genomic, and clinical outcome data
• Ensures statistical approaches align with regulatory and research rigor expectations
• Analyzes and interprets data
• Performs statistical analyses of cancer genomics, molecular profiling, and clinical datasets using R, Python, SAS, or similar tools
• Validates data integrity and reproduces results using documented analytic workflows
• Interprets analytic outputs with guidance from senior statisticians and faculty
• Prepares statistical summaries, tables, and figures of manuscripts, grants, and reports
• Collaborates with cross-functional teams
• Works with faculty, clinicians, and computational researchers to interpret statistical results and refine analyses
• Participates in study meetings and contributes to data-driven decision-making
• Supports protocol development, data requests, and integration of molecular and clinical datasets
• Manages data systems and tools
• Maintains, cleans, and curates research databases containing molecular, genomic, and clinical data
• Creates reproducible workflows and basic data visualizations
• Integrates datasets from public domain sources, institutional repositories, and structured internal pipelines
• Documents all data preparation steps to ensure scientific rigor
• Supports regulatory and ethical compliance
• Fulfills HIPAA, IRB protocols, and institutional guidelines for human subjects research and genomic data handling
• Ensures secure and ethical management of patient-derived molecular data
• Supports audits or compliance reviews when required
• Contributes to scientific communication
• Develops tables, figures, and code-generated outputs for manuscripts, conference presentations, progress reports, and grant applications
• Supports drafting components of statistical or computational methods section

Qualifications

• Master's Degree in Statistics or Biostatistics or a closely related field; or 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
• 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

Skills

• Analytical skills
• Technical expertise
• Collaboration
• Attention to detail
• Problem-solving

Benefits

Salary range: $66,229+ depending on qualifications

Pay

Salary range: $66,229+ depending on qualifications

Schedule

Weekly scheduled hours: 40

Benefits

Not specified

Pay

Not specified

Schedule

Not specified

Benefits

Not specified

Application Instructions

Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.

Equal Opportunity Employer

The 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.