From Amgen's posting. “We” and “our” refer to the employer.
Career Category
Operations
Job Description
Join Amgen’s Mission of Serving Patients
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. Amgen is advancing a broad and deep pipeline of medicines to treat cancer, heart disease, inflammatory conditions, rare diseases, and obesity and obesity-related conditions.
As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Sr Data Scientist
What you will do
Let’s do this. Let’s change the world. In this vital role you will transform the lives of patients while transforming your career.
Data Products & Application Development
Design, develop, and maintain data-driven products and business applications that improve decision-making and operational efficiency.
Build solutions including: Data products
Business applications
Automation tools
Dashboards and reporting solutions
Workflow management applications
Decision-support platforms
Develop scalable solutions using Python, SQL, cloud technologies, and modern software development frameworks.
Generative AI & Intelligent Automation
Design and deploy AI-enabled solutions that augment knowledge work and automate business processes.
Develop capabilities including: Large Language Model (LLM) applications
Retrieval-Augmented Generation (RAG)
Intelligent document generation
Information extraction
Automated workflow assistance
Knowledge management solutions
Decision-support copilots
Identify opportunities where AI can reduce manual effort and accelerate business outcomes.
Data Engineering & Platform Development
Develop and maintain the foundational services that power analytics and AI solutions.
Build and support: Data pipelines
APIs and integrations
Backend services
Employer application notice
Equal opportunity and accommodations
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
About this listing
LAYIQ is an independent job-discovery service. This listing does not imply a partnership with or endorsement by the employer. Review the original posting for current details and availability.
Ensure reliable, scalable, and secure delivery of enterprise data products.
Enterprise Data Integration
Design solutions that integrate information across enterprise systems and business functions.
Work with data and processes spanning: Clinical operations
Supply chain
Manufacturing
Enterprise operational platforms
Enable seamless access to trusted data across organizational boundaries.
Innovation & Technology Exploration
Continuously evaluate emerging technologies and identify opportunities to create business value.
Explore areas including: Generative AI
Agentic AI
Modern analytics platforms
Cloud-native architectures
Automation technologies
Data engineering tools
Enterprise application frameworks
Recommend innovative approaches that improve business outcomes.
User Experience & Front-End Solutions
Build user-facing applications that make data, analytics, and AI capabilities accessible to business users.
Develop interfaces using technologies such as: Streamlit
Dash
React
Other modern web and visualization frameworks
Focus on usability, adoption, and business impact.
Automation & Operational Excellence
Develop solutions that improve organizational efficiency through: Process automation
Workflow standardization
Self-service analytics
Improved data accessibility
Measure success through adoption, productivity gains, and operational improvements.
Product Delivery & Solution Ownership
Support the complete lifecycle of analytical and AI solutions.
Participate in:
Requirements gathering
Solution architecture
Technical design
Development
Testing and validation
Deployment
Documentation
Ongoing sustainment and support
Balance technical excellence with business priorities and delivery timelines.
Collaboration & Stakeholder Partnership
Partner closely with: Business stakeholders
Product teams
Data engineering teams
Enterprise architects
Digital technology teams
Subject matter experts
Translate business challenges into practical technical solutions while aligning with enterprise strategies and standards.
Communication & Business Translation
Communicate technical concepts and project outcomes to diverse audiences.
Clearly articulate: Business value
Solution architecture
Technical tradeoffs
AI capabilities and limitations
Project progress
Recommendations and next steps
Bridge the gap between business needs and technical implementation.
Core Competencies
Hands-on experience with: Python Application Development
SQL and Data Modeling
Generative AI and LLM Applications
Retrieval-Augmented Generation (RAG)
API Development
Data Engineering
Cloud Platforms (AWS, Databricks)
Analytics and Visualization
Workflow Automation
Strong understanding of: Data Product Development
Enterprise Architecture
AI Solution Delivery
Business Process Improvement
Product Ownership
Scalable Application Design
Ability to operate effectively as both a technical contributor and business partner in highly collaborative environments.
What we expect of you
We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a leader with these qualifications.
Basic Qualifications:
Doctorate degree
OR
Master’s degree and 2 years of Data Scientist experience
OR
Bachelor’s degree and 4 years of Data Scientist experience
OR
Associate’s degree and 8 years of Data Scientist experience
OR
High school diploma / GED and 10 years of Data Scientist experience
Strong Python development experience for applications, automation, AI, and analytics
Advanced SQL and large-scale data processing experience
Experience developing Generative AI and LLM-based applications
Passion for applying AI, analytics, automation, and software engineering to solve business problems
Strong stakeholder management and communication skills
Ability to rapidly prototype and deploy business solutions
Experience balancing technical decisions with business priorities
Experience with Databricks, AWS, and cloud-native architectures
Experience with data pipelines, workflow orchestration, and data quality monitoring
Preferred Qualifications:
Experience in pharmaceutical, biotechnology, manufacturing, supply chain, quality, or other regulated environments
Experience with RAG, agentic AI, and knowledge-driven systems
Experience building business applications using modern web frameworks
Experience developing APIs, integrations, and backend services
Experience with Tableau, Power BI, or similar visualization platforms
Knowledge of Git, CI/CD, testing, and software engineering best practices
Experience integrating enterprise systems such as SAP, manufacturing, quality, clinical, or supply chain platforms
What you can expect from us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans
Flexible work models where possible. Refer to the Work Location Type in the job posting to see if this applies.
Apply now and make a lasting impact with the Amgen team.
careers.amgen.com
In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
Amgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.
Sponsorship
Sponsorship for this role is not guaranteed.
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
