Senior Manager, Data Sciences
Core
Senior Manager, Data Science driving insight at the cutting edge of drug development by executing exploratory and confirmatory analyses on multi-modal clinical and omics datasets to shape clinical decisions.
Role type
Senior Manager, Data Science (hands-on IC)
Builds
Predictive models, automated analytical pipelines, and statistical strategies for drug development programs
Domain
Pharmaceutical R&D / Drug Development / Clinical Trials
Deliverable
production ML models
Required skills
Python, R, SQL, Machine Learning, Deep Learning, NLP, Causal ML, Survival Analysis, Longitudinal Modelling, Statistical Rigour, Data Engineering, Cloud Platforms (AWS/Azure/Databricks)
Preferred skills
Genomics, Proteomics, Imaging, Flow Cytometry, NLP, Causal ML, Explainable AI, Real-World Data (RWD/RWE), Digital Health Data
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 cohorts; Formulate and validate predictive models; Build reproducible, version-controlled analytical pipelines; Partner with statisticians on statistical analysis plans; Mentor team members and raise engineering standards
Seniority
Senior, hands-on IC