Career Category
Information Systems
Job Description
Role Overview
This Data Science Lead will report to the Sr. Data Science Manager and drive patient finding initiatives across Amgen’s RDBU portfolio. The role will work closely with the Data Science Capability Lead to leverage state-of-the-art, cutting-edge frameworks and translate them into scalable solutions that deliver measurable business value.
What you will do
Own patient finding delivery across brands, spanning key stages of the patient journey (pre-diagnosis, diagnosis, treatment initiation, relapse)
Build machine learning models and predictive alerts to identify therapy-appropriate patients earlier and enable timely intervention
Leverage aggregation of patient-level predictions to provider-level signals to improve field actionability
Align solutions with brand strategy, field workflows, and commercial priorities
Incorporate insights from patient support programs, hub, and benefit verification processes to enhance patient identification
Design and execute test-and-learn frameworks (A/B testing, causal inference)



to measure business impact
Translate outputs into clear, decision-ready insights for cross-functional stakeholders
Partner with global teams to ensure deployment, integration, and adoption of models
Continuously improve models based on real-world performance and data constraints

Basic Qualifications
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
Robust programming skills in Python and SQL
Experience with longitudinal healthcare data
Understanding of patient journey analytics and experimentation methods

Preferred Qualifications
Experience in patient finding / patient identification use cases
Familiarity with hub services, advantage verification, and patient support programs
Experience with early signal / pre-diagnosis modeling
Unde

📌 Data Science Lead – Patient Finding Hyderabad
🏢 AMGEN
📍 Hyderabad