Sr Data Scientist

Amgen Inc.; United States; Remote; USD 134,000 - 182,000; Full time

Benefits offered by this job

Retirement plan

Stock-based incentives

Flexible work models

Job summary

Amgen is seeking a Sr Data Scientist to design, develop, and deploy data-driven products and AI-enabled solutions across clinical, manufacturing, and enterprise domains. You will build data pipelines, APIs, and dashboards while advancing Generative AI, RAG, and intelligent automation to accelerate patient outcomes and business value.

The role emphasizes collaboration with data engineering, product teams, and stakeholders, delivering scalable, robust analytics platforms within a modern cloud

Qualifications

• 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.
• Strong stakeholder management and communication skills.

Responsibilities

• Design, develop, and maintain data-driven products and business applications.
• Create dashboards, reporting solutions, and automation tools to improve decision-making.
• Develop AI-enabled solutions including LLM, RAG, and knowledge-management copilots.
• Collaborate with data engineering, product, and enterprise teams to deliver scalable platforms.

Skills

Python Development

SQL

Generative AI

LLM Applications

API Development

Data Engineering

Cloud Platforms (AWS, Databricks)

Analytics & Visualization

Education

Doctorate degree

Master’s degree + 2 years Data Scientist experience

Tools

Databricks

AWS

Python

SQL processing frameworks

Job description

Sr Data Scientist

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.

• 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.

• 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.

• Data pipelines
• APIs and integrations
• Backend services
• ETL/ELT workflows
• Data quality monitoring solutions
• Data processing frameworks

Ensure reliable, scalable, and secure delivery of enterprise data products.

Enterprise Data Integration

Design solutions that integrate information across enterprise systems and business functions.

• Clinical operations
• Supply chain
• Manufacturing
• Enterprise operational platforms

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.

• 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.

• 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.

• 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.

• 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.

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.

Equal Opportunity and Accommodations

We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, or national origin. We also provide reasonable accommodation for disability.

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.

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.

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.

Salary Range

134,168.25USD -181,521.75 USD