Biostatistician - Data Science

University of Mississippi Medical Center
Jackson, MS, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Data Files Linear Regression

Job description

Performs basic and intermediate statistical analysis and programming for laboratory, clinical and population research projects, with guidance and support. Assists lead statisticians in their work on research projects., * Under guidance, generate analyses in accordance with statistical analysis plans, descriptive statistics and basic test statistics. Generates statistical modeling results and documenting summary of analyses to present them to requestors. Learn new statistical methods as needed and apply new skills to future projects.

  • Under guidance, design data analysis set specifications. Write statistical analysis code, finding and correcting errors and validating output and results. Demonstrated understanding of research project data collection processes and data sets, and shares knowledge with collaborators.
  • Serves in a supporting role for research projects, with consultation or assistance as needed. Demonstrates understanding of how related tasks contribute to the role of the statistics team on the project. Attends team meetings when appropriate and participates in the statistical team responsible for designing and validating analysis data sets, programs, and statistical output products. Accomplish project responsibilities with supervision or regular support.
  • Assists with teaching courses as requested by center faculty.The duties listed are general in nature and are examples of the duties and responsibilities performed and are not meant to be construed as exclusive or all-inclusive. Management retains the right to add or change duties at any time.

Requirements

Master’s degree in Statistics, Biostatistics, or directly related field. Experience preferred using data analysis platforms such as STATA, SAS, and/or R. No education equivalents., Experimental or study design, multiple regression, longitudinal data analysis, survival analysis, logistic regression, categorical data analysis, clinical trials methodology, Bayesian methods.

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