Biostatistician: Data-Driven Biomedical Analyses

St. Jude; Memphis (TN); On-site; USD 86,320 - 154,960; Full time

Job summary

St. Jude Children's Research Hospital seeks a Biostatistician to apply statistical and data science methods across diverse biomedical research projects. You will collaborate with Biostatistics faculty, clinicians, population scientists, and laboratory scientists to shape study objectives and analytic plans.

The role involves analyses from standard workflows to computationally intensive methods, data QA/QC, and preparing reports with clear interpretation for publications and reports.

Qualifications

• Bachelor's degree in biostatistics, statistics, epidemiology, or related field; Master's preferred.
• Experience with standard statistical and epidemiological methods and study design.
• Strong programming skills in R, SAS, or Python and ability to explain concepts clearly.

Responsibilities

• Apply statistical and data science methods to support biomedical research projects.
• Collaborate with Biostatistics faculty, clinicians, population scientists, or lab scientists to set objectives and analytic plans.
• Conduct analyses from basic workflows to computationally intensive approaches as needed.
• Prepare analysis reports with graphics, tables, methods, interpretations, and inferences.

Skills

Statistical methods

Data science

Programming (R, SAS, Python)

Verbal and written communication

Time management

Adaptability

Mentoring junior staff

Domain knowledge learning

Education

Bachelor's degree in biostatistics or related field

Master's degree preferred

Tools

R

SAS

Python

Job description

St. Jude Children's Research Hospital seeks a Biostatistician to apply statistical and data science methods across diverse biomedical research projects. You will collaborate with Biostatistics faculty, clinicians, population scientists, and laboratory scientists to shape study objectives and analytic plans.

The role involves analyses from standard workflows to computationally intensive methods, data QA/QC, and preparing reports with clear interpretation for publications and reports.