Data Scientist (Patient Finding)
Amgen · Hyderabad
- Experience3–5 yrs
- SalaryNot disclosed
- Work modeonsite
- Posted23 Sept 2026
About Amgen
Amgen is hiring in Hyderabad in pharma biotech. This role looks for around 3+ years of experience.
Skills
- Python
- SQL
- Data analysis
- Data visualization
- Predictive modeling
- Feature engineering
- Performance tracking
- Version control
- Reproducibility
The role
A data scientist at a biotechnology company develops predictive modeling and patient journey analytics for rare disease patient finding, using Python and SQL to prepare data, engineer features, and operationalize reproducible models. The role applies healthcare data analysis and causal inference to identify early signals, diagnosis patterns, treatment triggers, and relapse indicators.
Full 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.
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 casesAssist in data preparation, exploratory analysis, feature engineering, and performance trackingContribute to development of predictive models under guidance of senior data scientistsSupport 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 stakeholdersMaintain and operationalize code assets, dashboards, and data pipelines in Python/SQL environmentsFollow best practices for documentation, version control, and reproducibilityCollaborate with cross-functional teams and participate in stakeholder discussions alongside L5 leadsContinuously 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 settingOpportunity to work on rare disease patient finding and patient journey analyticsMentorship from experienced data scientists and exposure to advanced modeling techniquesA collaborative environment focused on learning, impact, and growth
Basic Qualifications
Bachelor’s or Master’s in Data Science, Engineering, Statistics, or a related quantitative field3–5 years of experience in analytics, modeling, or data science deliveryWorking knowledge of Python and SQL; experience with modern data platformsExperience with data analysis, visualization, and performance trackingStrong attention to detail and focus on high-quality, reproducible work
Preferred Qualifications
Exposure to predictive modeling, machine learning, or experimentation frameworksBasic understanding of healthcare data or patient journey analyticsFamiliarity with patient finding concepts (e.g., early signals, triggers, segmentation) is a plusInterest in rare disease analytics and low-signal data environmentsExperience with tools such as MLflow, Git, or notebook-based development environmentsStrong problem-solving skills and ability to work with ambiguous requirementsDemonstrated ability to collaborate effectively with technical and business teams