Biostatistician Contractor

Biostatistician I
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Department of Medicine
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Immediately
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Dell Medical School is seeking a Bisostatistician I
This is a grant-funded position with funding currently anticipated through August 31, 2029.
The Biostatistician I supports translational cancer resesearch within the Department of Medicine's Division of Oncology by performing statisticcal analyses, managing clinical and molecular datasets, and contributing to computational workflows under the supervision of senior statisticiansd and research faculty. This role assist with study design, data integration, reproducibility, and interpretation of results for projects involving molecular, genomic, and clinical cancer datasets.
Assists 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-omnics, 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.
Prepares statistical summaries, tables, and figures of manuscripts, grants, and reports.
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
Follows HIPAA, IRB protocols, and institutional guidelines for human subjects research and genomic data handling.
Ensures secure and ethnical management of patient-derived molecular data.
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.
Adheres to internal controls, reporting structure, and departmental requirements.
Able to analyze large, complex genomic, molecular, and clinical datasets and derive meaningful insights. Skilled: Analyzes complex data sets to derive meaningful insights.

Proficient in R, Python, SAS, SQL, or comparable tools for statistical and computational analysis.
Familiar with data visualization, reproducible research practices, and version control tools (e.g., Works effectively with interdisciplinary scientific and clinical teams.

Ensures accuracy and reproducibility in data processing, statsitical modeling, and documentation.

Master's Degree in Statistics or Biostatistics or a closely related field; 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-omiics analysis.
Experience developing analytic workflows, supporting manuscripts, or contributing to grant submissions.

WORKING ENVIRONMENT/EQUIPMENT

May work around standard office conditions.
Required Materials
~ 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; 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.
As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) Retirement Plan Eligibility:
The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.
A criminal history background check will be required for finalist(s) under consideration for this position.
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.
However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.
You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. E-Verify Poster (English and Spanish) [PDF]
Right to Work Poster (English) [PDF]
Right to Work Poster (Spanish) [PDF]
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