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 R/Bioconductor workflows
Machine learning for biomarker development
CDISC standards and submission metadata
Git-first workflows and cloud platforms
Nice-to-have
Inspire and grow company culture
Collaborative problem-solving
Patient-centric innovation
Thought leadership in biomarker analysis
Key Requirements
8+ years pharma/biotech experience
Advanced degree in quantitative field
Expert R & Bioconductor
Python for scientific computing
Expertise in surrogate, diagnostic, prognostic, pharmacodynamic biomarkers
Experience with regulatory strategies using biomarkers