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)