Center of Observational and Real-World Evidence (CORE), Real-world Data Analytics and Innovation team is seeking programmers and analysts to be leveraged for 2024 projects. We are looking for experienced individuals with expertise in R (especially in building an R library) and SQL. The successful candidate will be responsible for developing an R library/package, documenting code and programming requirements, and should have a strong understanding of statistical methods, version control, and working with EHR claims and medical EHR data in the pharmaceutical industry.
Responsibilities:
- Lead the development of an R analytic library/package to enhance the daily analysis work on real-world data and conduct feasibility analyses
- Test usability and user access to the developed R analytic library/package across multiple EHR and claims databases
- Create use cases and examples for use with the R analytic library/package
- Draft a shiny dashboard template to be used as outputs for each feasibility analysis completed using the R analytic library/package
- Gather, analyze, and prioritize stakeholder inputs from across geographies and functional areas to identify package needs
- Document programming and code specifics, support the generation of related reports, and ensure proper version control during the development of the package
Experience and skills:
- Experience in developing and maintaining an R analytic library/package
- Proficient in R, SQL, Git (proficiency in SAS and Python is a plus)
- Experience in working with database (Redshift, MySQL, etc.)
- Experience in working with real-world data (EHR and/or Claims)
- Experience in CI/CD pipeline (using Docker, Jenkins, etc.) is a plus
Candidate must be self-directed, proactive, and resourceful. Must be capable of working with limited daily direction. RWD and/or Observational data experience mandatory
