Senior Manager, Data Sciences
Core
Senior Manager, Data Sciences role driving exploratory and confirmatory analyses on multimodal clinical and omics datasets to shape clinical decisions and advance the global drug development pipeline.
Role type
Senior Manager, Data Science (hands-on IC with mentorship)
Builds
Predictive models, automated analytical pipelines, and statistical strategies for drug development programs
Domain
Pharmaceutical R&D, Drug Development, Clinical Trials, Omics
Deliverable
production ML models
Required skills
Statistical analysis, Machine learning, Python, R, SQL, Cloud platforms, Clinical trial data analysis, High-dimensional data modeling, Survival analysis, Longitudinal modeling, Biomarker discovery
Preferred skills
Genomics, Proteomics, Imaging, NLP, Causal ML, Explainable AI, Real-world data analysis, Molecular biology
Technologies
Python, R, SQL, AWS, Azure, Databricks
Responsibilities
Develop novel computational methods for patient segmentation and biomarker discovery; Execute data science analyses on clinical trial and real-world data; Build reproducible, version-controlled analytical pipelines; Partner with statisticians on statistical analysis plans; Mentor team members and raise engineering standards
Seniority
Senior Manager, hands-on IC with strategic contribution
