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
Analyze high-dimensional omics data
Develop reproducible analysis workflows
Expert R & Bioconductor
Machine learning for biomarker development
CDISC standards and submission metadata
Nice-to-have
Collaborative problem-solving
Inspire and grow company culture
High-impact over hierarchy
Thought leadership in biomarker analysis
Key Requirements
8+ pharma/biotech experience spanning clinical development
Advanced degree in Biostatistics, Biomedical Science, Bioengineering, or related quantitative field
Expertise in surrogate markers, diagnostic, prognostic, pharmacodynamic and response predictive biomarker methods