Manager - Exploratory Analysis (Hybrid)
Core
Provides statistical expertise to support drug discovery, target identification, and clinical biomarker exploration for precision medicine, enabling objective decision-making across the drug development lifecycle.
Role type
Manager, Biostatistics (Clinical & Discovery)
Builds
Biomarker analysis plans, clinical trial protocols, statistical reports, and scientific publications for drug development programs.
Domain
Pharmaceutical R&D, Clinical Trials, Precision Medicine
Deliverable
production ML models | dashboards & analysis
Required skills
Statistical analysis, biomarker identification, clinical trial design, data integrity management, subgroup identification, overfitting control, multiple testing control, machine learning methods, predictive modeling, high-dimensional data integration
Preferred skills
Discovery/pre-clinical study experience, clinical biomarker modeling, Machine Learning/AI, applied consulting or research experience in bioinformatics
Technologies
Statistical software, omics data tools, imaging analysis tools
Responsibilities
Collaborate with scientists and clinicians to design and analyze biomarker and assay studies; develop biomarker sections of clinical trial protocols; identify markers and signatures from omics/imaging data for patient stratification; perform independent statistical analyses and evaluate software/approach appropriateness; ensure scientific soundness and clarity of study results and presentations.
Seniority
Manager, hands-on IC with strategic oversight