Sr. Associate Systems Analyst

Career Category Clinical Job Description 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:  

The   Sr. Associate Systems Analyst   –   Clinical   Data Hub   will be responsible for analyzing business requirements, documenting functional and technical specifications, and supporting the development, deployment, and maintenance of   large scale   clinical data   and analytics solutions that meet business needs while ensuring the availability, reliability, and performance of critical systems and applications. This role involves working closely with business stakeholders, product managers, and engineering teams to translate business needs into scalable technical solutions, develop and support data pipelines, automate operational processes,   monitor   system health, and troubleshooting production issues.  

Roles & Responsibilities:    

Capture the voice of the customer to define business processes and product needs  

Work with Product Managers and customers to define scope and value for new developments  

Maintain and ensure the quality of documented user stories/requirements in tools such as Jira  

Contribute to the design, development, and implementation of data pipelines, ETL/ELT processes, and data integration solutions   leveraging Databricks,   PySpark , and SQL to ingest, transform, and process large-scale datasets  

Develop and execute effective product demonstrations for internal and external stakeholders  

Maintain   accurate   documentation of configurations, processes, and change  

Ensure Acceptance Criteria and Definition of Done are well-defined  

Collaborate and communicate effectively with the product teams, with cross-functional teams to understand business requirements and translate them into technical solutions  

Validate that test scenarios meet feature acceptance criteria and customer expectations  

Provide ongoing support and maintenance   of the data pipelines and   applications, ensuring that they   operate   smoothly and efficiently  

Collaborate effectively with global teams across time zones to   maintain   alignment, resolve issues, and deliver on shared   objectives .   

Basic Qualifications and Experience:  

Master’s / Bachelor's degree and 5 to 8 years of Life Science/Biotechnology   /Pharmacology/Information Systems experience OR  

Functional Skills:  

Must-Have Skills :  

Experience working in the Clinical domain, including   GxP -regulated computer system validation (CSV) environments.  

Experience working in Agile software development environments, including Scrum and Scaled Agile ( SAFe ) methodologies.  

Hands-on experience with Databricks, AWS,   PySpark , Python, and SQL for developing and supporting enterprise data and analytics solutions.  

Experience with DevOps practices, including Continuous Integration (CI), Continuous Delivery (CD), release management, and production support   

Experience collaborating with business stakeholders and subject matter experts (SMEs) to elicit, analyze, and document business and functional requirements, user stories, process flows, and technical specifications.  

Good-to-Have Skills:  

Experience writing and managing user stories, business requirements, and acceptance criteria using Agile project management tools such as Jira.  

Experience creating and   maintaining   business and technical documentation in compliance with organizational standards and standard operating procedures (SOPs).  

Understanding of biostatistical concepts and analysis methods   

Knowledge of Generative AI, Agentic AI, and other emerging technologies, with the ability to evaluate and apply them to business and analytics solutions.  

Strong analytical and problem-solving skills, with experience working with large, complex datasets to derive actionable insights.  

Strong understanding of data governance principles, frameworks, metadata management, and data quality best practices.  

Demonstrated ability to work effectively in a fast-paced, collaborative, and Agile environment while managing multiple priorities.  

Professional Certifications :  

Certified Tester/Agile Tester or similar (preferred)  

Scaled Agile Framework ( SAFe )   certification (preferred)  

Soft Skills:  

Able to work under minimal supervision  

Strong verbal and written communication skills  

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  

Strict attention to detail and process adherence  

Demonstrate presentation skills  

Shift Information:    

This position requires you to work a later shift and may be  assigned  a second or third shift schedule. Candidates must be willing and able to work during evening shifts.    

.