Career CategoryOperations
Job DescriptionPrincipal Data ScientistWhat you will doLet's do this. Let's change the world. In this vital role you will play a key part in designing, developing, and deploying scalable AI/ML solutions and agentic systems to drive innovation, efficiency, and regulatory compliance across the organization.
You will collaborate with multi-functional teams, including software engineers, data engineers, business partners, and quality professionals to design and implement responsible and ethical AI-driven capabilities that support strategic business objectives.
- Innovation & Research Translation: Stay at the forefront of AI/ML advancements-especially in the agentic AI and knowledge graph spaces-and translate emerging techniques into enterprise-ready applications.
- Agentic System Design & Innovation: Architect and deploy agent-based and multi-agent AI/ML systems to enhance automation, decision-making, and operational efficiency, leveraging modern frameworks and GenAI capabilities.
- Data Excellence & MLOps Governance: Champion robust data science practices and develop scalable, auditable MLOps pipelines. Enforce standards for versioning, testing, monitoring, documentation, and security to ensure high-quality model lifecycle management.
- Enterprise Integration & Cross-Functional Alignment: Partner with technology, product, and business team members to align AI initiatives with enterprise goals. Ensure solutions are traceable, interoperable, and embedded within Amgen's digital Quality ecosystem.
- Responsible & Ethical AI: Embed principles of ethical AI-including fairness, transparency, privacy, and explain-ability-into the design and deployment of AI/ML solutions. Ensure alignment with Amgen's Quality and Compliance standards and global regulatory frameworks.
What we expect of youWe are all different, yet we all use our unique contributions to serve patients. The professional we seek is a go getter with these qualifications.
Basic Qualifications:Doctorate degree and 2 years of
Data Science, Software/ML Engineering, experience
OR
Master's degree and 4 years of
Data Science, Software/ML Engineering, experience
OR
Bachelor's degree and 6 years of
Data Science, Software/ML Engineering, experience
OR
Associate's degree and 10 years of
Data Science, Software/ML Engineering, experience
OR
High school diploma / GED and 12 years of
Data Science, Software/ML Engineering, experience
Preferred Qualifications:- Demonstrated success providing technical leadership to teams delivering AI, machine learning, generative AI, analytics, or intelligent automation products in production.
- Experience delivering AI-enabled solutions within GxP-regulated biotechnology, pharmaceutical, healthcare, or life-sciences environments.
- Strong understanding of GxP principles, data integrity, computer-system validation, risk-based validation, change control, and regulated model lifecycle management.
- Proven expertise designing and implementing AI, machine learning, and generative AI applications, including agent-based or multi-agent systems.
- Experience with frameworks and patterns such as LangChain, LangGraph, LlamaIndex, retrieval-augmented generation, GraphRAG, vector search, and knowledge graphs.
- Advanced proficiency in Python and common machine-learning libraries such as PyTorch, TensorFlow, scikit-learn, or equivalent technologies.
- Experience with large language models, prompt and context engineering, tool calling, model evaluation, guardrails, and human-in-the-loop design.
- Proficiency with data-engineering technologies and methods, including SQL, Apache Spark, data pipelines, data modeling, and distributed processing.
- Experience developing full-stack applications and integrating AI solutions with enterprise platforms, APIs, data products, and business workflows.
- Strong knowledge of MLOps and LLMOps practices and tools, including MLflow, CI/CD pipelines, automated testing, observability, model monitoring, and infrastructure as code.• Experience with cloud and data platforms such as Databricks, AWS, Microsoft Azure, or Google Cloud Platform.
- Demonstrated ability to manage a portfolio of AI opportunities, balance experimentation with production delivery, and connect technical outcomes to measurable business value.
- Experience developing reusable AI capabilities, technical standards, enablement materials, or communities of practice.• Strong problem-solving skills and the ability to operate effectively in complex, ambiguous, and rapidly evolving environments.
- Excellent written and verbal communication skills, with the ability to influence technical, business, quality, and executive stakeholders.
- Demonstrated ability to mentor others, lead through influence, and build productive relationships across functions and geographies.
- High degree of initiative, accountability, self-motivation, and effectiveness in global, cross-functional teams.
What you can expect of usAs 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.comApplication deadlineAmgen 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.
SponsorshipSponsorship for this role is not guaranteed.
