Salary
≈ $16k – $46k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Amgen is a global biopharmaceutical pioneer headquartered in Thousand Oaks, California, that specializes in discovering, developing, and manufacturing innovative biologic therapies. The company focuses on treating serious illnesses with high unmet medical needs across key areas including oncology, cardiovascular disease, inflammation, rare diseases, and nephrology. Leveraging advanced human genetics, molecular engineering, and biosimilar development, it serves millions of patients worldwide through established blockbuster treatments and cutting-edge pipelines.
Career Category
EngineeringJob 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. We are global collaborators who achieve together-researching,manufacturing, and delivering ever-better products that reach millions of patients worldwide. It’s time for a career you can be proud of.
Role Overview
The Associate Data Scientist is an entry-level role supporting data science initiatives across Amgen’s portfolio. This role will work closely with Data Science Leads and senior team members to contribute to analytics, modeling, and insight generation, while building strong foundations in applied data science.
Live | What you will do
- Supportanalytics and data science projects across commercial use cases in the Gen Med portfolio
- Assist indata preparation, exploratory analysis, and feature engineering to enable modeling efforts
- Contribute to development and testing ofpredictive models and analytical frameworks under guidance of senior data scientists
- Performmetric tracking, performance analysis, and validation checks with high attention to detail
- Support creation ofinsight summaries, visualizations, and presentations for business stakeholders
- Maintain and updatecode, dashboards, and analytical assets in Python/SQL environments
- Follow best practices fordocumentation, QA, and reproducibility
- Collaborate with team members to meet project timelines and communicate progress effectively
- Engage in continuous learning acrosspredictive modeling, experimentation, and commercial analytics methods
Thrive | What you can expect
- Structured learning and hands-on experience incommercial data science applications
- Exposure toend-to-end analytics delivery across brands and use cases
- Mentorship from experienced data scientists and opportunities to grow intoindependent contributors
- A collaborative environment focused onlearning, impact, and development
Basic Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Engineering, or a related quantitative field
- 3 years of experience inanalytics, data science, or related roles
- Working knowledge ofPython and SQL
- Strong analytical thinking and problem-solving skills
- Attention to detail and ability to deliverhigh-quality, accurate work
Preferred Qualifications
- Exposure topredictive modeling, experimentation, or statistical analysis
- Familiarity withcommercial analytics or marketing performance measurement
- Interest inhealthcare, pharma, or life sciences analytics
- Experience with tools such asJupyter notebooks, Git, or data visualization platforms
- Ability to work collaboratively with cross-functional teams and senior stakeholders
- Strong communication skills and willingness to learn in a fast-paced environment
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