Data Scientist (Patient Finding)

Amgen Inc. (IR); Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Benefits offered by this job

Mentorship from experienced data scientists

Collaborative environment focusing on learning and growth

Job summary

A leading biotechnology company is seeking a Data Scientist to support patient finding initiatives in rare diseases. The role involves collaborating with senior data scientists to perform analytics and predictive modeling, assisting in data preparation and feature engineering, and maintenance of code assets in Python/SQL environments. The ideal candidate should have a degree in a relevant field, 3-5 years of experience in analytics or data science, and strong skills in Python and SQL. This position offers mentorship and exposure to advanced modeling techniques.

Qualifications

• 3-5 years of experience in analytics, modeling, or data science delivery.
• Working knowledge of Python and SQL.
• Experience with data analysis, visualization, and performance tracking.

Responsibilities

• 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 the development of predictive models under guidance.

Skills

Analytics

Modeling

Data preparation

Python

SQL

Data visualization

Attention to detail

Education

Bachelor's or Master's in Data Science, Engineering, Statistics

Tools

MLflow

Git

Job description

## **Career Category**Information Systems## ## **Job Description**# **Data Scientist (Patient Finding)**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**.