Job Description

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you're part of something bigger, it's because you are. At Amgen, our shared mission--to serve patients--drives all that we do. It is key to our becoming one of the world's leading biotechnology companies. We are global collaborators who achieve together--researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It's time for a career you can be proud of.

Live | What you will do

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As the

Therapeutic Area (TA) Decision Sciences Lead

, you will be the

single point of accountability

for all data science and measurement work supporting your assigned TA(s). You will work closely with U.S. CD&A Decision Sciences teams to design, deliver, and operationalize models and insights that support TA-specific business needs.

Key Responsibilities

Lead end-to-end delivery of

patient analytics

, including patient journey insights, cohort definitions, segmentation, adherence/persistence, and early-signal analyses. Drive the development of

predictive models

such as patient triggers, HCP alerts, identification models, and risk-based prediction frameworks. Oversee analytical methodologies for

model measurement

, including performance evaluation, causal inference, lift analysis, and test design for model validation. Ensure all modeling and measurement work follows Amgen's standards for

scientific rigor, documentation, reproducibility, and governance

. Partner with U.S. Decision Sciences leaders to define analytical priorities, refine problem statements, and ensure TA alignment. Collaborate with engineering/platform teams to

operationalize models

, including model deployment, monitoring, drift detection, and retraining strategies. Review and synthesize model outputs and analytical results into

structured, actionable insights

for TA stakeholders. Mentor and guide L5/L4 data scientists supporting the TA on modeling methods, measurement frameworks, and analytic best practices.

Thrive | What you can expect

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Amgen invests in your professional growth through continuous learning, leadership development, and opportunities to apply advanced analytics to meaningful patient and commercial challenges.

Basic Qualifications

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Master's or PhD in

Data Science, Statistics, Computer Science, Engineering, Mathematics

, or a related quantitative field. 12+ years of experience in

data science or advanced analytics

, ideally in pharmaceutical or life sciences analytics environments. Experience working with

real-world data

such as claims, EMR, specialty pharmacy, or other longitudinal datasets. Strong hands-on or oversight experience in

predictive modeling

, machine learning, and/or causal inference. Proficiency with

Python, SQL, Databricks

, and familiarity with MLflow (for model lifecycle review and guidance). Demonstrated ability to clearly translate complex analytical work into actionable insights for non-technical partners. Experience leading analytics delivery and coaching junior data scientists.

Preferred Qualifications

============================

Experience building

alert/trigger models

, patient-finding models, and next-best-action frameworks. Exposure to designing experiments or measurement frameworks (e.g., uplift modeling, holdouts, causal impact). Familiarity with cloud-based ML deployment, feature stores, or production ML practices. * Strong communication, structured storytelling, and influence skills.