Scan your resume against ATS criteria for this AI Data Scientist role at Amgen.
Information Systems
Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller, and longer. We discover, develop, manufacture, and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains at the cutting edge of innovation, using technology and human genetic data to push beyond what is known today.
You will play a critical role in advancing Amgen’s Operations Transformation and Digital Strategy by designing and delivering next-generation AI solutions that modernize how data, knowledge, and content are created, connected, governed, and consumed across the enterprise, in collaboration with the Operations AI Transformation Team.
This role is focused on applying
to solve complex business problems in a highly regulated environment. The AI Data Scientist will help shape and scale AI-enabled solutions that support enterprise transformation, with particular emphasis on regulatory, operational, and data-centric use cases. This role will contribute to initiatives that combine modern AI capabilities with structured content, knowledge graphs, and interoperable data models to enable intelligent automation, improved decision-making, and new ways of working.
This is an individual contributor role for a technically strong and strategically minded AI practitioner who can move from concept to proof of value and from prototype to scalable implementation while maintaining a strong commitment to responsible AI, compliance, and continuous improvement.
The AI Data Scientist is responsible for designing, developing, and scaling AI-driven solutions that combine Generative AI, agentic AI, semantic data, and enterprise data platforms to create measurable business value. This role requires deep technical expertise, strong business engagement, and the ability to translate ambiguous business opportunities into production-oriented AI products and capabilities.
With a focus on pharmaceutical and operational data domains, the role involves applying data science,-based modeling, knowledge graph methods, and modern AI technologies to build intelligent systems that can reason over interconnected data, generate insights, and automate knowledge-intensive tasks. The role will work across structured and unstructured data, leveraging AWS, Databricks, OpenAI APIs, AWS Bedrock, and related platforms to deliver scalable and compliant AI solutions.
This role will also help establish best practices in AI, support transformation initiatives through experimentation and applied innovation, and promote a culture of continuous improvement in AI product delivery and business adoption.
to address high-value business and operational challenges.
, semantic data models, and knowledge graph capabilities to improve automation, search, insight generation, and decision support.
and transition them into robust, enterprise-ready AI products for broader organizational use.
and other data transformation techniques to analyze, integrate, and prepare data from multiple enterprise sources.
and data-centric design practices with AI to promote interoperability, discoverability, and governance of data assets.
, including
, to design scalable, secure, and maintainable AI solutions.
, foundation model platforms, and enterprise AI tooling in alignment with business and technical standards.
and associated data/AI workflows to support experimentation, model development, and scalable deployment patterns.
, security, privacy, and compliance expectations, including familiarity with emerging AI regulatory frameworks such as the
.
, innovation, and transformation by identifying opportunities to improve current processes, technologies, and ways of working.
, and regulatory expectations, and apply those insights pragmatically within the organization.
Master’s OR Bachelor’s degree with 4 to 7 years of experience in Data Science, Artificial Intelligence, Computer Science, Information Science, or related
,
, and
concepts and applications.
for rapid prototyping, solution development, and scaling AI-driven capabilities.
for data analysis, transformation, and integration across enterprise systems.
and well-architected cloud design best practices, including familiarity with
.
and related AI development patterns for enterprise solutions.
or comparable data and AI platforms.
, or similar technologies.
and their application in enterprise and pharmaceutical data environments.
, regulatory submission processes, or compliance requirements in the pharmaceutical domain.
, including development, manufacturing, regulatory, and operational domains.
and
concepts, especially where they complement Generative AI use cases.
,
, or related interoperability frameworks.
, facilitation, and business analysis skills.
, innovation, and transformation.
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.
We will ensure that individuals with disabilities are provided with 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 an accommodation.
.
How to apply for AI Data Scientist at Amgen?
Click the "Apply on Company Website" button on this page to submit your application directly on the employer's official portal.
What is the salary for this role?
Salary details will be discussed during the interview.
What experience is required?
4+ years of experience is required.
Is this position still open?
Yes, currently active and accepting applications.
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