Mgr Data Sciences - Information Modeling

Career Category

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. 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.

What you will do

Let’s do this. Let’s change the world. In this vital role you will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative demonstrates pioneering technologies, including Generative AI, Structured Content Management, and integrated data to automate the creation, review, and approval of regulatory content.

Role Description:

The Mgr Data Sciences is a mid-level position responsible for developing interconnected business information models and ontologies that capture real-world meaning of data by studying the business, our data, and the industry. With a focus on pharmaceutical industry-specific data, including Clinical, Operations, and Chemistry, Manufacturing, and Controls (CMC), this role involves creating robust semantic models based on data-centric principles to realize a connected data ecosystem that empowers consumers. The Information Modeler drives seamless multi-functional data interoperability, enables efficient decision-making, and supports digital transformation in pharmaceutical operations.

Roles & Responsibilities:

• Lead conversations with business collaborators to elucidate semantic models of pharmaceutical business concepts, aligned definitions, and relationships. Negotiate and debate across collaborators to drive alignment and create system-independent information models, taking a data-centric approach aligned with business data domains.
• Develop comprehensive business information models and ontologies that capture industry-specific concepts, including CMC, Clinical, and Operations data.
• Facilitate whiteboarding sessions with business domain experts to elicit knowledge, drive interoperability across pharmaceutical domains, and interface between data producers and consumers.
• Educate and mentor a team and peers on the practical use and dif
• ferentiating value of Linked Data and FAIR+ data principles. Champion standards for master data & reference data.
• Formalize data models in RDF as OWL and SHACL ontologies that interoperate with each other and with relevant industry standards like FHIR and IDMP for healthcare data exchange.
• Build a broad semantic knowledge graph that threads data together across end-to-end business processes and enables the transformation to data-centricity and new ways of working.
• Apply pragmatic semantic abstraction to simplify diverse pharmaceutical and healthcare data patterns effectively.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients.

Basic Qualifications:

• Master’s degree with 4-6 years of experience in Product Owner / Platform Owner / Service Owner OR
• Bachelor’s degree with 6--8 years of experience Product Owner / Platform Owner / Service Owner / Service Owner OR
• Diploma with 1012 years of experience in Product Owner / Platform Owner / Service Owner

Preferred Qualifications:

• Demonstrable ability to lead and develop impactful teams.
• Strong problem-solving, analytical, and critical thinking skills to address complex data challenges.
• Deep understanding of pharmaceutical industry data, including CMC, Process Development, Manufacturing, Engineering Quality, Supply Chain, and Operations.
• Advanced skills in semantic modeling, RDF, OWL, SHACL, and ontology development in TopBraid and/or Protégé.
• Demonstrated experience creating knowledge graphs with semantic RDF technologies (e.g. Stardog, AllegroGraph, GraphDB, Neptune) and testing models with real data.
• Highly proficient with RDF, SPARQL, Linked Data concepts, and interacting with triple stores.
• Highly proficient at facilitating, capturing, and organizing collaborative discussions through tools such as Miro, Lucidspark, Lucidchart, and Confluence.
• Expertise in FAIR data principles and their application in healthcare and pharmaceutical data models.
• Experience in regulatory data modeling and compliance requirements in the pharmaceutical domain.
• Familiarity with pharmaceutical lifecycle data (PLM), including product development and regulatory submissions.
• Knowledge of supply chain and operations data modeling in the pharmaceutical industry.
• Proficiency in integrating data from various sources, such as LIMS, EDC systems, and MES.
• Hands-on data analysis and wrangling experience including SQL-based data transformation and solving integration challenges arising from differences in data structure, meaning, or terminology
• Expertise in FHIR data standards and their application in healthcare and pharmaceutical data models.

Soft Skills:

• Exceptional interpersonal, business analysis, facilitation, and communication skills.
• Ability to interpret complex regulatory and operational requirements into data models.
• Analytical thinking for problem-solving in a highly regulated environment.
• Adaptability to manage and prioritize multiple projects in a dynamic setting.
• Strong appreciation for customer- and user-centric product design thinking.

What you can expect of 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.

In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now for a career that defies imagination

Objects in your future are closer than they appear. Join us.

careers.amgen.com

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.

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.