Biostatistical Consultant I, Neurology

UT Southwestern Medical Center • Dallas, TX

22d

About The Position

Works under general direction to provide statistical consultation for faculty, staff, and students.

This role collaborates with Dr. Salter, research staff, and multidisciplinary teams to ensure high quality study design, data integrity, and accurate interpretation of statistical findings. The consultant contributes to research development through statistical analysis plans, data management strategies, and analytical execution to support publications, presentations, grants, and regulatory submissions.
This position will perform statistical analyses and apply machine-learning techniques to biomedical datasets. This role emphasizes statistical reasoning, interpretation, and communication. Experience performing statistical analyses in a biomedical or healthcare environment preferred. The ideal candidate will have proficiency in R or SAS for statistical modeling and data analysis; familiarity with supervised machine-learning methods (e.g., penalized regression, random forests, gradient boosting) and appropriate model validation practices; and, the ability to clearly communicate analytical findings to investigators and collaborators. A master's degree in biostatistics, statistics, bioinformatics, computer science (with strong statistical training, epidemiology, or related quantitative field) will be highly considered.

Requirements

• Master's Degree In biostatistics or related discipline, or MPH with a concentration in biostatistics
• 1 year In statistical consulting with preference given to experience working in biomedical or health care environment and
• Requires working knowledge of SAS, SPSS or other major statistical package (S+, R, etc.) and Microsoft Office (ACCESS and EXCEL)

Nice To Haves

• Experience performing statistical analyses in a biomedical or healthcare environment preferred.
• The ideal candidate will have proficiency in R or SAS for statistical modeling and data analysis; familiarity with supervised machine-learning methods (e.g., penalized regression, random forests, gradient boosting) and appropriate model validation practices; and, the ability to clearly communicate analytical findings to investigators and collaborators.
• A master's degree in biostatistics, statistics, bioinformatics, computer science (with strong statistical training, epidemiology, or related quantitative field) will be highly considered.

Responsibilities

• Conducting data cleaning, preparation, and quality checks.
• Performing statistical analyses including regression, longitudinal modeling, survival analysis, hypothesis testing, and data exploration.
• Applying appropriate machine-learning methods to biomedical data with an emphasis on clinical relevance, interpretability, and reproducibility.
• Conducting model validation using established performance metrics and cross-validation techniques.
• Documenting all analytical steps following reproducible research practices.
• Producing tables, figures, and analytic summaries for investigators.
• Assisting with preparation of statistical portions of manuscripts, abstracts, posters, and grant applications.
• Collaborates with investigators to identify problems and provide statistical consultation including design of experiments of survey, analysis of data, interpretation of results and preparation of reports.
• Writes statistical portion of manuscript based on results of analysis and address manuscript revisions based on reviewer's comments.
• Assists client data organization.
• Performs statistical computations.
• Provides graphical and tabular representations.
• Develops, maintains and modifies programs for in-house use.
• Collaborates with investigators in grant development including statistical design of studies and preparation of statistical portion of grant proposal.
• Performs non-statistical components of consulting such as providing analogous examples and explanations using non-technical terminology, and helping researchers formulate and clarify research issues.
• Visits client's work field whenever possible to establish rapport and to become familiar with and interested in client's research and data.
• Performs other duties as assigned.

Benefits

• PPO medical plan, available day one at no cost for full-time employee-only coverage
• 100%25 coverage for preventive healthcare-no copay
• Paid Time Off, available day one
• Retirement Programs through the Teacher Retirement System of Texas (TRS)
• Paid Parental Leave Benefit
• Wellness programs
• Tuition Reimbursement
• Public Service Loan Forgiveness (PSLF) Qualified Employer

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level