Sr Associate -Data Analytics Validation Engineer

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier,fullerand longer. We discover, develop,manufactureand deliver innovative medicines to help millions of patients. Amgen helpedestablishthe biotechnology industry more than 40 years ago andremainson thecutting-edgeof innovation, using technology and human genetic data to push beyondwhat’sknown today.

ABOUT THE ROLE

Role Description:

Therole leverages domain and business processexpertiseto detail productrequirements suchas epics and user stories, along with supporting artifacts like business process maps,use cases,andtestplansfor theData & Analyticsteam.This role involves working closely with developersandbusiness analyststo ensure that thetechnical requirements for upcoming development are thoroughly elaborated. Thisenablesthe delivery team to estimate, plan, and commit to delivery with high confidenceandidentifytest cases and scenariosto ensure the quality and performance ofAnalyticsSystems.You will collaboratewith Product Managers and developers tomaintainan efficient and consistent process, ensuring quality deliverables from the team. 

Roles & Responsibilities:

• Collaborate with System Architects and Product Managers to manage business analysis activities, ensuring alignment with engineering and product goals

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

• Ensure Acceptance Criteria and Definition of Done are well-defined

• Develop detailed test plans and strategies based on project requirements and specifications

• Perform manual and automated testing of software applications, including functional, regression, and performance testing

• Maintain detailed documentation of test/validationplans, test cases, and test results

• Validate that test scenarios meet feature acceptance criteria and customer expectations

• Maintain and ensure the quality of documented user stories/requirements in toolssuch asJira

• Assure that all validation test procedures are in line with current technology, corporate,and governmental regulations

• Perform IQ, OQ,andPQ validation on processes, equipment,and systems in conjunction with suppliers as appropriate

• Coordinate with DevOps to ensureCI/CD test automation pipelinesinclude unit, integration, and regression validations

Basic Qualifications and Experience:

• Master’s degree and 3 to 7 years of Life Science/Biotechnology/Pharmacology/Information Systemsexperience OR

• Bachelor’s degree and 5 to 9 years of Life Science/Biotechnology/Pharmacology/Information SystemsexperienceOR

• Diploma and 9 to 11 years of Life Science/Biotechnology/Pharmacology/Information Systemsexperience

Functional Skills:

Must-Have Skills  

• Experience with Agile software development methodologies (Scrum)

• Working knowledge ofDatabricks, Spark, SQL,Pythonand data transformation pipelines

• Ability to validateLLM/NLP features, especially around prompt responses and model observability

• Excellent communication skills and the ability tointerface withsenior leadership with confidence and clarity

• Experience in writing requirements for development of modern web applications

• Has experience with writing user requirements and acceptance criteria in agile project management systemssuch asJIRA

Good-to-Have Skills: 

• Demonstratedexpertisein a scientific domain area and related technology needs

• Familiarity with low-code, no-code test automation software

• Support validation forGenAI-powered analytics assistants,including test scenarios for prompt reliability, semantic accuracy, and response traceability

• Able to communicate technical or complex subject matters in business terms

• Jira Align experience

• Experience of DevOps, Continuous Integration, and Continuous Deliverymethodology

Professional Certifications(please mention if the certification is preferred or mandatory for the role):

• SAFe for Teams certification (preferred)

Soft Skills:

• Able to work under minimal supervision

• Skilled in providing oversight and mentoring team members.Demonstratedabilityineffectively delegatingwork

• Excellent analytical and gap/fit assessment skills

• 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