You will be the statistical leader for analytical Biomarker strategies, analysis for and across autoimmune clinical programs, including support for and reverse translation—spanning early and late development
Job Summary
You will be the statistical leader for analytical Biomarker strategies, analysis for and across autoimmune clinical programs, including support for and reverse translation—spanning early and late development.
Lead innovative analysis of Biomarker and multi-omics data, applying rigorous methods for high-dimensional datasets and integrating across modalities.
Champion modern compute & collaboration, working in Git-first workflows and leveraging cloud data and analytical platforms.
Matching Summary
You will be the statistical leader for analytical Biomarker strategies, analysis for and across autoimmune clinical programs, including support for and reverse translation—spanning early and late development.
Skills & Requirements
Must-have
Biomarker statistics for clinical trials
Analysis of high-dimensional omics data
Reproducible data analysis workflows
Expert R & Bioconductor
Statistical methods for biomarker data
Machine learning for biomarker development
Nice-to-have
Collaborative problem-solving
High-impact over hierarchy
Patient-centric approach
Thought leadership in data strategy
Key Requirements
Advanced degree in Biostatistics, Biomedical Science, Bioengineering, or related quantitative field
8+ pharma/biotech experience spanning clinical development
Expertise in surrogate markers, diagnostic, prognostic, pharmacodynamic and response predictive biomarker methods
Working experience with CDISC standards and submission metadata
On site presence in the Ghent office for 2 days/week