Senior Associate - RWE Application Development

• Enhance and support existing R Shiny applications with a focus on front-end improvements
• Provide support for the Atlas web-based application from the OHDSI community
• Develop and implement web solutions using HTML, CSS, and JavaScript
• Collaborate with stakeholders to understand their requirements and translate them into technical solutions
• Participate in continuous integration and continuous deployment (CI/CD) processes
• Manage and optimize data workflows to support efficient data processing and analysis
• Maintain clear and effective communication with team members and stakeholders
• Provide technical solutions to programming problems within CfOR
• Lead and develop technical programming and process improvement initiatives within CfOR
• Represent the programming function and participate in multidisciplinary project team meetings
• Project manage all programming activities, according to agreed resource and timeline plans
• Ensure all programming activities on the project adhere to departmental standards
• Provide input to and participate in intra-departmental and CfOR meetings
• Stay updated with R programming trends and integrate new technologies as needed
• Establish coding standards and best practices for R package and R Shiny development
• Optimize performance and refactor code to enhance efficiency and reliability
• Validation and testing software tools
• Generating Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle
• Collaborate with teams across multiple time zones to fulfill requests, clarify requirements, escalate issues, and deliver high-quality results
• Hands-on programming and results delivery

• Bachelor's degree with 3-5 Years in Computer Science, Information Technology, or a related field
• Proficient in R and R Shiny (Basic)
• HTML (Intermediate)
• CSS (Intermediate)
• JavaScript (Intermediate)
• At least four years of relevant career experience in full stack development
• Strong working knowledge of HTML, CSS, and JavaScript programming
• Scientific and technical excellence
• Exceptional oral and written communication skills
• Problem-solving abilities
• Meticulous attention to detail
• Ability to work effectively within a large, globally distributed team
• Excellent verbal and written communication skills in English
• Ability to have efficient exchanges with colleagues across geographical locations
• Agile project management
• Experience with Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries
• OMOP common data model
• Leadership
• Innovation
• Teamwork
• Learning attitude

• Master’s degree in Computer Science, Information Technology or other relevant scientific subject
• Training or experience using the Observational Medical Outcomes Partnership (OMOP) common data model
• Experience working with the OHDSI community and supporting Shiny applications
• Familiarity with Real-World Evidence and its applications in observational studies
• Experience: Developing and maintaining web applications using R Shiny
• Supporting and enhancing web-based applications in a collaborative environment
• Collaborating with multi-functional teams to deliver technical solutions that meet user requirements
• Python (Basic)
• Git workflows using version control
• Continuous Integration and Continuous Deployment (CI/CD)

Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards