Test Automation Engineer

ABOUT AMGEN

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 on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE

Role Description:

We are seeking a skilled and creative RShiny Developer with hands-on experience in MarkLogic and graph databases. You will be responsible for designing and developing interactive web applications using RShiny, integrating complex datasets stored in MarkLogic, and leveraging graph capabilities for advanced analytics and knowledge representation.

Roles & Responsibilities:

• Develop interactive dashboards and web applications using RShiny.
• Connect and query data from MarkLogic, especially leveraging its graph and semantic features (e.g., RDF triples, SPARQL).
• Design and maintain backend data workflows and APIs.
• Collaborate with data scientists, analysts, and backend engineers to deliver integrated solutions.
• Optimize performance and usability of RShiny applications.

Functional Skills:

Must-Have Skills:

• Proven experience with R and RShiny in a production or research setting.
• Proficiency with MarkLogic, including use of its graph database features (triples, SPARQL queries, semantics).
• Familiarity with XQuery, XPath, or REST APIs for interfacing with MarkLogic.
• Strong understanding of data visualization principles and UI/UX best practices.
• Experience with data integration and wrangling.

Good-to-Have Skills:

• Experience with additional graph databases (e.g., Neo4j, Stardog) is a plus.
• Background in knowledge graphs, linked data, or ontologies (e.g., OWL, RDF, SKOS).
• Familiarity with front-end frameworks (HTML/CSS/JavaScript) to enhance RShiny applications.
• Experience in regulated industries (e.g., pharma, finance) or with complex domain ontologies.

Professional Certifications (preferred):

• SAFe Methodology
• Courses in R, RShiny, and data visualization from reputable institutions (e.g., Johns Hopkins’ “Data Science Specialization” on Coursera)

Other Graph Certifications (optional but beneficial)

• Neo4j Certified Professional (to demonstrate transferable graph database skills)
• Linked Data and Semantic Web Training (via organizations like W3C or O’Reilly)

Soft Skills:

• Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong problem-solving and analytical skills.
• Strong time and task management skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects.

EQUAL OPPORTUNITY STATEMENT

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 accommodation.