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About the Role

Join Amgen’s mission of serving patients by pioneering biotech in the fight against the world’s toughest diseases. As a member of the Amgen team, you’ll help make a lasting impact on patients' lives by researching, manufacturing, and delivering innovative medicines. Our award-winning culture is collaborative, innovative, and science-based. Join us and transform the lives of patients while transforming your career.

Responsibilities

Design, develop, and maintain data products, AI-enabled applications, dashboards, and automation solutions using Python, SQL, cloud technologies, and modern development frameworks.
Build and support Generative AI solutions that automate knowledge-intensive processes, document generation, information extraction, workflow assistance, and decision support.
Develop and maintain data pipelines, APIs, integrations, and backend services that enable reliable and scalable delivery of data and AI products.
Design and implement solutions that integrate data from enterprise systems, including clinical, supply chain, manufacturing, quality, and operational platforms.
Collaborate with business stakeholders to understand requirements, identify opportunities for automation, and translate business problems into technical solutions.
Build user-facing applications and interfaces that enable business users to access data, insights, AI capabilities, and operational workflows.
Develop tools that improve operational efficiency by reducing manual work, standardizing processes, and enhancing data accessibility.
Partner with data engineers, architects, digital technology teams, and business subject matter experts to deliver scalable, maintainable, and secure solutions.
Support the full product lifecycle, including requirements gathering, solution design, development, testing, deployment, documentation, and sustainment.
Apply data science, analytics, and AI techniques to generate insights, improve business processes, and support operational decision-making.
Establish and promote best practices for software development, AI development, source control, testing, documentation, and solution governance.
Ensure solutions meet data quality, compliance, validation, and governance requirements in a regulated pharmaceutical environment.
Communicate technical concepts, project updates, recommendations, and business value effectively to technical and non-technical audiences.
Continuously evaluate emerging technologies, AI capabilities, and digital approaches to identify opportunities for innovation and business impact.

Requirements

Doctorate degree
Master’s degree and 2 years of Data Scientist experience
Bachelor’s degree and 4 years of Data Scientist experience
Associate’s degree and 8 years of Data Scientist experience
High school diploma / GED and 10 years of Data Scientist experience
Experience in pharmaceutical, biotechnology, life sciences, manufacturing, supply chain, quality, or other regulated environments.
Strong proficiency in Python for application development, automation, data processing, AI solutions, and analytics.
Strong SQL skills, including complex queries, data modeling, optimization, and large-scale data processing.
Experience developing AI-enabled applications using Large Language Models (LLMs), Generative AI technologies, prompt engineering, retrieval-augmented generation (RAG), agent-based systems, or related technologies.
Experience building business applications using frameworks such as Streamlit, Dash, React, or similar web application technologies.
Experience with Databricks, AWS, Azure, cloud-native services, and modern data platform architectures.
Experience designing and developing APIs, system integrations, backend services, and data pipelines.
Experience with ETL/ELT processes, workflow orchestration, data quality monitoring, and automated data processing.
Experience developing dashboards and analytical solutions using Tableau, Power BI, or similar visualization platforms.
Knowledge of software engineering best practices including Git, CI/CD, testing, code reviews, and release management.
Experience working with enterprise operational systems such as SAP, manufacturing systems, quality systems, clinical systems, or supply chain platforms.
Ability to rapidly prototype, iterate, and deploy solutions in partnership with business stakeholders.
Demonstrated ability to manage multiple initiatives and deliver solutions in a fast-paced, cross-functional environment.
Strong problem-solving skills with the ability to structure ambiguous business challenges into practical technical solutions.
Strong communication and stakeholder engagement skills, including the ability to explain complex technical concepts to business audiences.
Experience operating as both a technical contributor and product owner, balancing technology decisions with business priorities.
Passion for applying AI, automation, analytics, and software engineering to solve real-world business problems.

Skills

Python
SQL
Cloud technologies
Modern development frameworks
Generative AI
Large Language Models (LLMs)
Prompt engineering
Retrieval-augmented generation (RAG)
Agent-based systems
Streamlit
Dash
React
Databricks
AWS
Azure
Cloud-native services
APIs
System integrations
Backend services
Data pipelines
ETL/ELT processes
Workflow orchestration
Data quality monitoring
Automated data processing
Tableau
Power BI
Git
CI/CD
Testing
Code reviews
Release management
SAP
Manufacturing systems
Quality systems
Clinical systems
Supply chain platforms

Location

U.S. (excluding Puerto Rico)

Work Type

Flexible work models where possible

Experience Level

2 years of Data Scientist experience (with Master's degree)
4 years of Data Scientist experience (with Bachelor's degree)
8 years of Data Scientist experience (with Associate's degree)
10 years of Data Scientist experience (with High school diploma / GED)

Education Level

Doctorate degree
Master’s degree
Bachelor’s degree
Associate’s degree
High school diploma / GED

Salary/Compensations

134,168.25USD -181,521.75 USD

Benefits

Comprehensive employee benefits package
Retirement and Savings Plan with generous company contributions
Group medical, dental and vision coverage
Life and disability insurance
Flexible spending accounts
Discretionary annual bonus program
Sales-based incentive plan (for field sales representatives)
Stock-based long-term incentives
Award-winning time-off plans

About the Company

Amgen is a biotechnology pioneer focused on four therapeutic areas: Oncology, Inflammation, General Medicine, and Rare Disease.
We reach millions of patients each year and are advancing a broad pipeline of medicines.
Our award-winning culture is collaborative, innovative, and science-based.
We are 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.

Equal Opportunity

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.
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.