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Job Description

HOW MIGHT YOU DEFY IMAGINATION?

If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Join us.

Senior Data Scientist (Remote)

Live

What you will do

Let’s do this. Let’s change the world.

Amgen is a leading global biotechnology company, with a mission to serve patients around the world. The new Operations Digital Strategy and Capabilities organization at Amgen is looking for an experienced and highly motivated Sr. Data Scientist with expertise in linked data concepts, knowledge graphs and semantic technologies and a background in process & product development, manufacturing, supply chain or pharma/biotech. This is a highly collaborative, hands-on scientific/technical leadership role working in an innovative cross-functional matrixed team environment to unlock the power of data. You will weave a network of durable data products for Operations: thoughtfully-designed, connected, high quality, contextualized data assets that collectively power Operations' business destinations. You'll work at the crossroads of technology and value-driving business solutions to lead the way in how data can enable Amgen to better serve patients.

In this vital role an ideal candidate will have the following characteristics:

• You have an unwavering passion for understanding, wrangling, assembling, and organizing data to unlock it's potential to drive advanced analytics, visualization, and novel insights generation.
• You are excited to work within an Operations digital innovation unit to 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.
• You thrive in an agile, dynamic environment working directly with other data scientists and solution engineers at the interface of business and technology to quickly iterate on Operations data products that drive value and provide solutions to critical development, manufacturing, and supply chain challenges.
• You're keen to partner with Operations and Information Systems/Information Technology teams to deliver an enterprise data fabric that powers data discovery, query, search, advanced analytics, and machine learning.
• You aspire to be a recognized semantic technologies and knowledge graph expert.
• You are an excellent communicator with the ability to distill complex issues and clearly articulate solutions to diverse audiences.
• You have dynamic social skills, situational awareness, and the ability to influence, motivate, lead and work in a multidisciplinary setting.
• You have superior work ethics and strong motivation to positively impact the lives of patients.

Responsibilities:

• Transform and harmonize data across sources into Operations data products that conform to system-independent information models aligned with business data domains.
• Partner closely with semantic modelers and ontology engineers to understand deeply the meaning of the data and the desired data shape.
• Design, develop, test, and automate reliable, observable, high-performance data pipelines that instantiate data in both graph and relational forms.
• Develop monitorable tests to prove the data are accurate, high quality, and internally consistent.
• Develop and publish normalized and denormalized relational data models for SQL consumers.
• Partner with source system experts to devise resilient data sourcing and transformation strategies.
• Manage delivery of a continuous, iterative flow of Operations data products and improvements to meet business needs.
• Collaborate with our data scientists to shape how the knowledge graph can drive value for Operations' business problems.
• Partner with data engineers and enterprise Information Systems teams to industrialize production-grade data products and advance common platform capabilities as part of our enterprise data fabric strategy.

Win

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The ideal professional we seek is a go-getter with these qualifications.

Basic Qualifications

• Doctorate degree and 2 years of engineering/data sciences/business analytics and/or life sciences experience OR
• Master’s degree and 6 years of engineering/data sciences/business analytics and/or life sciences experience OR
• Bachelor’s degree and 8 years of engineering/data sciences/business analytics and/or life sciences experience OR
• Associates Degree and 10 years of engineering/data sciences/business analytics and/or life sciences experience OR
• High school diploma / GED and 12 years of of engineering/data sciences/business analytics and/or life sciences experience

Preferred Qualifications

• Demonstrated experience creating knowledge graphs with semantic RDF technologies (esp. Stardog, Anzo, GraphDB, Neptune) or property graph databases (esp. neo4j, TigerGraph)
• Highly proficient with RDF, SPARQL, Linked Data concepts, and interacting with triple stores
• Working knowledge of OWL ontologies and SHACL
• Highly proficient with SQL-based data transformation and integration
• Proficient at designing normalized and denormalized relational models/ERDs
• Experience with one or more general purpose programming languages such as Java, Scala, C, C++, C#, Python, or JavaScript
• Experience with DataOps for building automated data transformation pipelines
• Well-versed in DevOps practices, including Git for version control and Airflow for orchestration
• Proficient with the Spark distributed computing framework (esp. using Databricks)
• Comfortable working in a fast-paced, collaborative, Agile team environment
• Experience working in manufacturing, supply chain, or pharma/biotech
• Familiarity with AWS cloud services is a plus
• Experience with entity resolution and disambiguation techniques is a major plus

Thrive

What you can expect of us

As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being.

• Vast opportunities to learn and move up and across our global organization
• Diverse and inclusive community of belonging, where teammates are empowered to bring ideas to the table and act
• Generous Total Rewards Plan comprising health, finance and wealth, work/life balance, and career benefits

Apply now for a career that defies imagination

In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us.

careers.amgen.com