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 subjectTraining or experience using the Observational Medical Outcomes Partnership (OMOP) common data modelExperience working with the OHDSI community and supporting Shiny applicationsFamiliarity with Real-World Evidence and its applications in observational studiesExperience :
Developing and maintaining web applications using R ShinySupporting and enhancing web-based applications in a collaborative environmentCollaborating with multi-functional teams to deliver technical solutions that meet user requirementsKey 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 controlContinuous Integration and Continuous Deployment (CI / CD)Excellent verbal and written communication skills in EnglishAbility to have efficient exchanges with colleagues across geographical locationsAgile project managementReal-world data (RWD) including insurance claims databases, electronic medical records and patient registries; for example, MarketScan, Optum, PharMetrics, Flatiron, MedicareOMOP common data modelScientific / technical excellenceOral and written communication, documentation skillsLeadershipInnovationTeamworkProblem solvingAttention to detailLearning attitudeSkills Required
Javascript, Css, Html