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Data Scientist (Patient Finding)

Pay
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Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting

This role will work closely with a Senior Data Scientist to support patient finding initiatives across Amgen’s Rare Disease Business Unit (RDBU).

Support analytics and predictive modeling projects across commercial data science use cases

  • Build predictive models under guidance of senior data scientists

  • Prepare data, run exploratory analysis, and engineer features

  • Support patient finding use cases across the patient journey

  • Summarize insights for business stakeholders

  • Maintain code, dashboards, and data pipelines in Python/SQL

From the employer’s posting
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.
Support analytics and predictive modeling projects across commercial data science use cases
Contribute to development of predictive models under guidance of senior data scientists
Assist in data preparation, exploratory analysis, feature engineering, and performance tracking
Support patient finding use cases across the patient journey
Assist in generating actionable insights and summaries for business stakeholders
Maintain and operationalize code assets, dashboards, and data pipelines in Python/SQL environments

What you’ll bring

All qualifications

Core experience

  • 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
  • Experience with data analysis, visualization, and performance tracking

Preferred experience

  • Familiarity with patient finding concepts (e.g., early signals, triggers, segmentation) is a plus
  • Experience with tools such as MLflow, Git, or notebook-based development environments
  • Demonstrated ability to collaborate effectively with technical and business teams
Qualification wording
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
Experience with data analysis, visualization, and performance tracking
Familiarity with patient finding concepts (e.g., early signals, triggers, segmentation) is a plus
Experience with tools such as MLflow, Git, or notebook-based development environments
Demonstrated ability to collaborate effectively with technical and business teams
Education & alternatives
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
Apply at Amgen

Posting record

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Status in our records
Live
First seen by us
Sep 24, 202646 days ago
Recorded sightings
99
Last seen by us
Nov 9, 2026
Employer says posted
Sep 21, 2026
Reposted
once since Apr 18, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

How this job compares

Time since we first saw it

Day 46

Similar jobs usually come down between day 7 and day 57.

At Amgen, jobs usually come down by about day 50.

From 10,789 similar postings that came down, and 208 of Amgen’s. Coming down is not always a hire.

Amgen is hiring

200 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Data Scientist hiring is picking up
  • Takes jobs down at a usual pace
  • 3% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • MLflow
Where the posting names them
- 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
- 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
- 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

Your next step

Complete your application on amgen.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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  • Your application status lives in that employer’s Candidate Home, under the same sign-in.

Already applied? Track this application

Has Amgen posted this job before?

Yes. We’ve followed one other Data Scientist (Patient Finding) job there since April 2026. It came down after 129 days.

  1. HyderabadCame down after 129 days, first seen Apr 18
  2. This jobUp 47 days so far, first seen Sep 24

About Amgen

People
About 31,500 in 2025, up 13% from the year before.Annual report (SEC Form 10-K)
Company
Listed as AMGN.
H-1B visas
143 approved for new hires in fiscal 2025.US Citizenship and Immigration Services

Demand for Data Scientist roles

New Data Scientist postings at the employers we follow are down 5% over the last 6 weeks compared with the 6 before.

Weekly new Data Scientist postings at the same employers, from the week of August 17 to the week of November 2. The fewest in a week was 1,408, the most 2,964, and the latest week had 2,139.
August 17Last week

Each bar is one week of new postings. The darkest bars are the last 6 weeks.

Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.

About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

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

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Location & working pattern

India - Hyderabad

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