Associate Director, Data Science
Core
Lead data science initiatives to advance drug discovery and development by integrating machine learning with mechanistic modelling (PK/PD, QSP) to transform experimental datasets into actionable insights for clinical decision-making.
Role type
Senior IC data science leader (hybrid modelling & AI)
Builds
Hybrid modelling pipelines, decision-support tools, and scalable reproducible workflows for drug discovery
Domain
Pharmaceutical R&D / Drug Discovery / Pharmacometrics
Deliverable
production ML models | product features
Required skills
Machine learning, statistics, mechanistic modelling (PK/PD, QSP), Python, R, data visualization, ADME concepts, reproducible data science workflows
Preferred skills
Experience combining mechanistic modelling with data-driven approaches, deep learning, graph algorithms, time series analysis
Technologies
Python, R, scikit-learn, PyTorch, Keras, Pandas, SQL
Responsibilities
Shape AI-driven MIDD strategies, design hybrid modelling pipelines, translate model-derived biomarkers into clinical predictions, develop scalable reproducible workflows, integrate diverse datasets (preclinical/clinical), drive adoption of in silico models, communicate modelling insights to stakeholders
Seniority
Senior, hands-on IC with strategic contribution