Amgen's Clinical Computation Platform Product Team manages a core set of clinical computation solutions that support global clinical development. This team is responsible for building and maintaining systems for clinical data storage, data auditing and security management, analysis and reporting capabilities. These capabilities are pivotal in Amgen's goal to serve patients.The Principal IS Architect will define the architecture vision, create roadmaps and support the design and implementation of advanced computational platforms to support clinical development, ensuring that IT strategies align with business goals. The Principal IS Architect will work closely with partners across departments, including CfDA, GDO, CfOR, CfTI, CPMS and IT teams, to design and implement scalable, reliable, and hard-working solutions.Develop and maintain the enterprise architecture vision and strategy, ensuring alignment with business objectivesCreate and maintain architectural roadmaps that guide the evolution of IT systems and capabilitiesEstablish and enforce architectural standards, policies, and governance frameworksEvaluate emerging technologies and assess their potential impact on the enterprise / domain / solution architectureIdentify and mitigate architectural risks, ensuring that IT systems are scalable, secure, and resilientMaintain comprehensive documentation of the architecture, including principles, standards, and modelsDrive continuous improvement in the architecture by finding opportunities for innovation and efficiencyWork with partners to gather and analyze requirements, ensuring that solutions meet both business and technical needsEvaluate and recommend technologies and tools that best fit the solution requirementsEnsure seamless integration between systems and platforms, both within the organization and with external partnersDesign systems that can scale to meet growing business needs and performance demandsDevelop and maintain logical, physical, and conceptual data models to support business needsEstablish and enforce data standards, governance policies, and best practicesDesign and manage metadata structures to enhance information retrieval and usabilityBasic Qualifications :
- Master's degree with 8 to 10 years of experience in Computer Science, IT or related field OR
- Bachelor's degree with 10 to 14 years of experience Computer Science, IT or related field OR
- Diploma with 14 to 18 years of experience Computer Science, IT or related field
- Proficiency in designing scalable, secure, and cost-effective solutions.
- Expertise in cloud platforms (AWS, Azure, GCP), data lakes, and data warehouses.
- Experience in evaluating and selecting technology vendors.
- Ability to create and demonstrate proof of concept solutions to validate technical feasibility.
- Strong knowledge of Clinical Research and Development Domain
- Experience working in agile methodology, including Product Teams and Product Development models
Preferred Qualifications :
- Strong solution design and problem-solving skills
- Experience in developing differentiated and deliverable solutions
- Ability to analyze client requirements and translate them into solutions
- Experience with machine learning and artificial intelligence applications in clinical research.
- Strong programming skills in languages such as Python, R, or Java.
- Experience of DevOps, Continuous Integration, and Continuous Delivery methodology
Skills Required
Enterprise Architecture, Data Modeling, Clinical Research, Agile, Python