This role drives patient finding initiatives across Amgen's RDBU portfolio by building machine learning models to identify therapy-appropriate patients earlier
Job Summary
This role drives patient finding initiatives across Amgen's RDBU portfolio by building machine learning models to identify therapy-appropriate patients earlier.
The successful candidate will leverage aggregation of patient-level predictions to provider-level signals to improve field actionability and align solutions with brand strategy.
The position requires designing and executing test-and-learn frameworks to measure business impact and translating outputs into clear, decision-ready insights for stakeholders.
Matching Summary
This role drives patient finding initiatives across Amgen's RDBU portfolio by building machine learning models to identify therapy-appropriate patients earlier.
Skills & Requirements
Must-have
Master's degree in Data Science or related field
5–7 years experience in machine learning
Strong programming skills in Python and SQL
Experience with longitudinal healthcare data
Understanding of patient journey analytics
Nice-to-have
Experience in patient finding use cases
Familiarity with hub services and benefit verification
Experience with early signal modeling
Exposure to model lifecycle best practices
Ability to translate analytics into business impact
Key Requirements
Master's degree in Data Science, Statistics, Computer Science, Public Health, or related field
5–7 years of experience in machine learning, predictive modeling, or healthcare analytics