Data Scientist (Patient Finding)

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

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