Develop cutting-edge methodologies to develop RWD-based solutions to enable disease insights, improve patient outcomes, and enhance clinical development
Job Summary
Develop cutting-edge methodologies to develop RWD-based solutions to enable disease insights, improve patient outcomes, and enhance clinical development.
Lead and contribute to the development of statistical /machine learning models in health and healthcare based on RWD that will provide key insights to our pipeline assets.
Be a hands-on technical leader among the Data Science team, helping institute best practices while crafting a data-driven culture, developing, and mentoring more junior members of the team.
Matching Summary
Develop cutting-edge methodologies to develop RWD-based solutions to enable disease insights, improve patient outcomes, and enhance clinical development.
Skills & Requirements
Must-have
Real World Data (RWD) analysis
statistical modeling
machine learning
Python or R
SQL
project leadership
Nice-to-have
emerging scientific and technological developments
drug discovery and clinical development
healthcare subject matter experts
data-driven culture
Key Requirements
Ph.D. or master’s degree in quantitative field
2+ years (Ph.D.) or 4+ years (Master's) experience
Experience with statistical modeling, clustering, classification, causal inference, simulation, machine learning, or deep learning
Hands-on technical data analysis and machine learning modeling experience
Proven project leadership
Proven track record of delivering high impact data science projects