We’re looking for a senior biomarker statistics expert to drive analytical strategy across immunology programs. This is a high‑impact role shaping decisions from early research through late‑stage development — with deep influence on biomarker science, multi‑omics analytics, and translational decision‑making.

Responsibilities

• Lead end‑to‑end biomarker statistical strategy
• Translate scientific questions into robust quantitative approaches
• Analyse multi‑omics datasets (transcriptomics/proteomics/metabolomics)
• Set standards for reproducible R/Bioconductor workflows
• Collaborate across Clinical, Quantitative Sciences, Translational & Preclinical teams
• Build dashboards (R/Shiny, Spotfire) and transparent reporting outputs
• Work with Git‑first workflows and cloud platforms (Posit, Databricks, Snowflake)

Requirements:

• 5+ years in pharma/biotech clinical development
• Expert R & Bioconductor skills
• Deep expertise across biomarker methodology (diagnostic, prognostic, PD, predictive)
• Strong communication skills for translating complex data
• Experience in ML (classification, clustering, regularized models, MLflow‑style workflows)
• Familiarity with CDISC standards and submission metadata
• Proficiency with Git, Databricks, Snowflake, CI/CD concepts
• Experience building dashboards (R/Shiny, Spotfire)