Specialist IS Automation Engineer

Career Category

Engineering

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.

Role Description:

The Specialist IS Automation Engineer is a key contributor to the Clinical Study Oversight & Reporting (CSOR) Team, driving the development of robust data pipelines and platforms to enable advanced analytics and decision-making. Operating within a SAFE Agile product team, this role ensures system performance, minimizes downtime through automation, and supports the creation of actionable insights from clinical trial data. Collaborating with product owners, architects, and engineers, the Specialist IS Automation Engineer will implement and enhance CSOR team’s capabilities. Ideal candidates are detail-oriented professionals with strong technical skills, a problem-solving mindset, and a passion for advancing clinical operations through data engineering and analytics.

Roles & Responsibilities:

Internal Use Only General and Administrative • Collaborate with Product Owners and developers in an Agile environment to define testable requirements and embed quality early in the development lifecycle. • Design and build scalable test automation frameworks with reusable scripts, utilizing platforms like GitHub, GitHub Copilot, and UiPath, and languages such as Python, JavaScript, or C#. • Build and maintain end-to-end, API, and UI automation suites, leveraging modular, data-driven approaches to improve coverage and efficiency. • Develop and automate processes for proactive monitoring of applications, enabling early detection of issues and improving system reliability. • Integrate automated testing and monitoring into CI/CD pipelines to ensure continuous validation, faster feedback, and stable releases. • Continuously enhance QA processes, automation coverage, and system performance while effectively managing multiple priorities in a dynamic environment. • Leverage AI-powered tools to enhance test automation, including intelligent test generation, self-healing scripts, and predictive defect detection. • Utilize AI/ML-based insights to improve monitoring, enable anomaly detection, and optimize overall system performance and quality. • Perform targeted manual testing where needed and support integration/ETL validation (e.g., Informatica, Mulesoft) along with data validation using reporting tools. • Support ongoing application maintenance, including patching, upgrades, and preventative testing, following best practices and engineering standards.