Biostatistical Programming Manager

Job Description

- 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
- Write and/or review and approve all programming plans
- Oversee the work of outsourced resources assigned to project
- Lead and/or participate in the development and review of CfOR Policies, SOPs and other controlled documents
- Participate in the recruitment of programming staff
- Actively participate in external professional organizations, conferences and/or meetings
- Provide input to and participate in intra-departmental and CfOR meetings
- Contribute to the continuous improvement of programming, CfOR, and Research and Development (R&D)
- Manage staff performance and oversee staff assignments and utilization
- 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
- Implement CI/CD processes to ensure efficient and reliable deployment of applications
- Manage and optimize data workflows to support efficient data processing and analysis
- 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
- Validate and test software tools

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. Managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources in programming projects and Experiencein R Shiny, HTML, CSS, and JavaScript.

Basic Qualifications:

- Bachelor's degree in Computer Science, Information Technology, or a related field
- At least six (6) years of relevant experience in full stack development

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
- Global collaboration
- Request fulfillment oversight, clarifying requirements, project tracking, project fulfillment, statistical programming, issue resolution, expert resource, results delivery

Key Competencies

- Required: Proficient in R and R Shiny (Intermediate)
- Required: HTML (Expert)
- Required: CSS (Expert)
- Required: JavaScript (Expert)
- Preferred: Python (Intermediate)
- 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, Market Scan, 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.

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