Senior Manager, Data Scientist
Core
Lead drug development data science and biomarker strategy by developing predictive models from multimodal clinical, omics, and real-world data to advance precision medicine and clinical trial design.
Role type
Senior Manager, Data Scientist (Hands-on IC with team leadership)
Builds
Predictive biomarker models, statistical analysis plans (SAP), and automated modeling pipelines for clinical drug development
Domain
Pharmaceutical R&D / Biostatistics / Computational Biology
Deliverable
production ML models
Required skills
Statistical modeling, Machine Learning (classical & Deep Learning), Omics data analysis, Clinical trial data analysis, High-dimensional data processing, Predictive modeling, SQL, Python, R, Cloud platforms
Preferred skills
Molecular biology knowledge, Disease pathway understanding, AI/ML application in pharma R&D, Time-to-event analysis, Longitudinal outcome modeling
Technologies
Python, R, SQL, Cloud platforms
Responsibilities
Develop computational methods for patient segmentation from multimodal datasets; Partner with statisticians to write and execute protocols and SAPs for biomarkers; Execute biomarker analyses on clinical trial and real-world data; Perform statistical analyses on high-dimensional omics data; Optimize and validate biomarker assays for clinical trials; Formulate and validate predictive models for drug development; Manage cross-functional teams and coordinate resources for competing priorities
Seniority
Senior Manager, hands-on IC with team management