Career Category
Information Systems
Job Description
Data Scientist (Patient Finding)
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.
Role Overview
This role will work closely with a Senior Data Scientist to support patient finding initiatives across Amgen’s Rare Disease Business Unit (RDBU). The candidate will contribute to analytics and modeling efforts spanning multiple stages of the patient journey, helping identify patients earlier and enable timely intervention.
Live | What you will do
Support
analytics and predictive modeling projects
across commercial data science use cases
Assist in
data preparation, exploratory analysis, feature engineering, and performance tracking
Contribute to development of
predictive models
under guidance of senior data scientists
Support
patient finding use cases across the patient journey
(e.g., pre-diagnosis signals, diagnosis, treatment triggers, relapse indicators)
Assist in generating
actionable insights and summaries
for business stakeholders
Maintain and operationalize
code assets, dashboards, and data pipelines
in Python/SQL environments
Follow best practices for
documentation, version control, and reproducibility
Collaborate with cross-functional teams and participate in
stakeholder discussions alongside L5 leads
Continuously learn and apply methods such as
predictive modeling, experimentation, and causal inference
Thrive | What you can expect
As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.
Exposure to
end-to-end data science delivery in a commercial pharma setting
Opportunity to work on
rare disease patient finding and patient journey analytics
Mentorship from experienced data scientists and exposure to
advanced modeling techniques
A collaborative environment focused on
learning, impact, and growth
Basic Qualifications
Bachelor’s or Master’s in Data Science, Engineering, Statistics, or a related quantitative field
3–5 years of experience in
analytics, modeling, or data science delivery
Working knowledge of
Python and SQL
; experience with modern data platforms
Experience with
data analysis, visualization, and performance tracking
Strong attention to detail and focus on
high-quality, reproducible work
Preferred Qualifications
Exposure to
predictive modeling, machine learning, or experimentation frameworks
Basic understanding of
healthcare data or patient journey analytics
Familiarity with
patient finding concepts
(e.g., early signals, triggers, segmentation) is a plus
Interest in
rare disease analytics and low-signal data environments
Experience with tools such as
MLflow, Git, or notebook-based development environments
Strong problem-solving skills and ability to work with
ambiguous requirements
Demonstrated ability to
collaborate effectively with technical and business teams
Ownership mindset with a
bias toward execution and learning
.
