Remote RWE Biostatistician: Real-World Data & Analytics

Resilience Care; Grenoble; On-site; EUR 42,000 - 64,000; Full time

Job summary

Resilience Care is seeking a Biostatistician to build and deliver robust statistical work for Real‑World Evidence studies. You will contribute from analysis planning to reproducible programming and clear interpretation for cross‑functional teams.

You will draft SAPs, write analyses in R/Python, and ensure data quality and clear documentation. Collaboration with medical and pharma teams is essential as you help drive reliable, actionable insights.

Qualifications

• Apply biostatistics (survival analysis: Kaplan‑Meier, log‑rank, Cox; regression; GLM/GLMM; matching/weighting).
• Write clean, reproducible code (R, Python; basic SQL).
• Work with patient healthcare data (quality, traceability, constraints).
• Produce clear statistical/methodological documentation (protocole, SAPs, reports).
• Build meaningful data visualisations.
• Communicate insights to diverse audiences.

Responsibilities

• Draft and/or contribute to Statistical Analysis Plans (SAP) and methodological documentation.
• Program analyses in R and Python; SQL/PostgreSQL as needed.
• Set up data quality checks (consistency, cohort rules) and document assumptions.
• Produce decision‑ready deliverables (tables/figures/reports) and explain results to non‑statisticians.

Tools

R

Python

SQL

Job description

Resilience Care is seeking a Biostatistician to build and deliver robust statistical work for Real‑World Evidence studies. You will contribute from analysis planning to reproducible programming and clear interpretation for cross‑functional teams.

You will draft SAPs, write analyses in R/Python, and ensure data quality and clear documentation. Collaboration with medical and pharma teams is essential as you help drive reliable, actionable insights.