Senior Statistical Programmer

Sr Associate Biostatistical Programming

What you will do

Let's do this. Let's 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.

Basic Qualifications:

Bachelor's degree with 3-5 Years in Computer Science, Information Technology, or a related field

Preferred Qualifications:

• 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

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