**What you’ll own:** - Strategy: Define the biomarker roadmap across all major ’omics (methylation/epigenomics, RNA/transcriptomics, proteomics, metabolomics) with high precision and repeatability over time. - Partnerships: Source, vet, and negotiate with labs/CROs/platforms (CLIA/CAP, research-grade), set SLAs, QC bars, batch schedules, and data contracts. - Assay selection & validation: Choose platforms (e.g., EPIC/WGBS, RNA-seq, Olink/SomaScan, targeted LC-MS/GC-MS, as well as emerging tech) and design validation plans (replicates, spike-ins, controls, precision/accuracy, LOD/LOQ). - Pipelines & analytics: Stand up ingestion/QC/normalization pipelines; build longitudinal models (mixed-effects, time-series) to detect true within-person change. - Bioinformatics → product: Translate signals into deployable metrics (risk, trend, response) that power protocols, content, and customer experiences. - Study design & compliance: Architect IRB-appropriate protocols; ensure data governance (HIPAA/PHI), CAP/CLIA awareness for claims, and auditable methods. - Cross-functional leadership: Partner with departments and stakeholders to turn evidence into clear, defensible narratives and user experiences. - Reporting: Oversee the design, improvement, and maintenance of a biomarker performance dashboard (assay QC, turnaround, failure rates, cost per insight) and a living evidence dossier.