Pediatric Biostatistician: Research & Data Analytics

NemoursCareerSite; Wilmington (DE); Hybrid; USD 95,000 - 130,000; Full time

Job summary

Nemours seeks a Biostatistician to join the Research team in Wilmington, DE, contributing to the Biomedical Research Informatics Center (BRIC) as part of the Biostatistical Core. This hybrid role collaborates with researchers in the Delaware Valley region, including clinicians and scientists, to support pediatrics-focused studies.

The position supports the Department of Pediatrics with statistical expertise, study design, and data analysis, enabling high-impact research in a dynamic,

Qualifications

• Master’s degree in Biostatistics, Statistics, Data Science, or a related field.
• Minimum of 3 years of post-Master’s degree experience as a statistician/biostatistician.
• Proficiency in statistical and data science software (R, SAS, Python).
• Experience with health-related data and familiarity with clinical and biomedical research.
• Strong project management skills with the ability to prioritize tasks, meet deadlines, and work independently while fostering team collaboration.
• Effective technical communication, including writing, presenting, and documenting code.

Responsibilities

• Assist with the design of clinical, epidemiological, and basic science research studies
• Draft statistical analysis plans for research proposals and grant applications
• Perform sample size calculations and power analyses
• Manage, analyze, and interpret complex clinical datasets
• Prepare statistical results for study reports, publications, and presentations

Skills

R

SAS

Python

Project management

Effective communication

Education

Master’s degree in Biostatistics, Statistics, Data Science, or a related field

Job description

Nemours seeks a Biostatistician to join the Research team in Wilmington, DE, contributing to the Biomedical Research Informatics Center (BRIC) as part of the Biostatistical Core. This hybrid role collaborates with researchers in the Delaware Valley region, including clinicians and scientists, to support pediatrics-focused studies.

The position supports the Department of Pediatrics with statistical expertise, study design, and data analysis, enabling high-impact research in a dynamic,