Senior Associate - RWE Application Development

Sr Associate Biostatistical Programming

What you will do

Lets do this. Lets change the world. In this vital role you will 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

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. This crucial role involves generating Real-World Evidence (RWE) to support Amgen products throughout the drug development lifecycle. This individual contributor programming role will collaborate with teams across multiple time zones to fulfill requests, clarify requirements, escalate issues, and deliver high-quality results. The Senior Statistical Programmer will report to a locally based Manager.

The Senior Statistical Programmer will be responsible for hands-on programming and results delivery. Additionally, they will be responsible for enhancing existing R Shiny applications and providing support for the Atlas web-based application from the OHDSI community. The ideal candidate should possess a bachelor''s degree and have at least four years of relevant career experience in full stack development. Proficiency in R and R Shiny is required, along with a strong working knowledge of HTML, CSS, and JavaScript programming. The successful candidate will demonstrate scientific and technical excellence, exceptional oral and written communication skills, problem-solving abilities, and meticulous attention to detail. The ability to work effectively within a large, globally distributed team is essential.

Basic Qualifications:

• Bachelor''s degree with 5-8 Years in Computer Science, Information Technology, or a related field

Preferred Qualifications:

• Masters 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

Key Competencies

• Required: Proficient in R and R Shiny (Basic)
• Required: HTML (Intermediate)
• Required: CSS (Intermediate)
• Required: JavaScript (Intermediate)
• Preferred: Python (Basic)
• Git workflows using version control
• Continuous Integration and Continuous Deployment (CI/CD)
• Excellent verbal and written communication skills in English
• Ability to have efficient exchanges with colleagues across geographical locations
• Agile project management
• Real-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, Medicare
• OMOP common data model
• Scientific / technical excellence
• Oral and written communication, documentation skills
• Leadership
• Innovation
• Teamwork
• Problem solving
• Attention to detail
• Learning attitude