Biostatistician - Biomedical Data Analysis Specialist

Louisiana State University; Baton Rouge, Northern (LA, KY); Hybrid; USD 70,000 - 100,000; Full time

Job summary

Louisiana State University (Pennington Biomedical Research Center) in Baton Rouge seeks Biostatisticians at the I or II level to provide statistical support for biomedical studies. The role involves data cleaning, program development, and collaborative analysis across multidisciplinary teams.

Candidates should hold a master's degree in a related field and demonstrate proficiency in SAS, R, Python, or Stata, with strong communication of methods and results.

Qualifications

• Master's degree in Biostatistics, Statistics, Mathematics, Epidemiology, Data Science, or a closely related quantitative field.
• Experience with statistical software and programming, such as SAS, R, Python, Stata, or similar software.
• Experience preparing, cleaning, organizing, and analyzing research or other complex datasets.
• Ability to develop and modify statistical programs, macros, or analytical code.
• Ability to communicate statistical information and research findings effectively, both verbally and in writing.

Responsibilities

• Prepares, cleans, and organizes research data and analysis datasets for statistical analysis.
• Develops, modifies, and maintains programs and macros using statistical software to support research projects.
• Conducts statistical analyses using standard and advanced methods.
• Assists with development and implementation of analysis plans and methods.
• Reviews results and communicates findings to investigators and collaborators.
• Contributes to abstracts, posters, reports, and manuscripts.

Skills

Statistical methods

Data management

Programming

Communication

Education

Master's degree in Biostatistics or related field

Tools

SAS

R

Python

Stata

Job description

Louisiana State University (Pennington Biomedical Research Center) in Baton Rouge seeks Biostatisticians at the I or II level to provide statistical support for biomedical studies. The role involves data cleaning, program development, and collaborative analysis across multidisciplinary teams.

Candidates should hold a master's degree in a related field and demonstrate proficiency in SAS, R, Python, or Stata, with strong communication of methods and results.