This role drives patient finding initiatives across Amgen's portfolio by building machine learning models to identify therapy-appropriate patients earlier
Job Summary
This role drives patient finding initiatives across Amgen's 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.
You will design and execute test-and-learn frameworks like A/B testing to measure business impact and translate outputs into clear, decision-ready insights.
Matching Summary
This role drives patient finding initiatives across Amgen's 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
Knowledge of early signal pre-diagnosis modeling
Exposure to model lifecycle best practices
Ability to translate analytics into business impact