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Senior RWE Programmer
ParexelSenior Real-World Evidence Programmer at Parexel designing and coding R and SQL programs for RWD analysis in a remote setting. Collaborating on studies and delivering insights with real-world data.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in R and SQL programming for Real-World Data analysis, with a strong background in statistical analysis and data validation. Capable of developing dashboards and reports to effectively communicate findings while collaborating with study teams to meet project timelines.
Highest-signal resume keywords
R ProgrammingSQL ProgrammingReal-World Data AnalysisStatistical AnalysisData Validation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
R ProgrammingSQL ProgrammingStatistical AnalysisData ValidationOriginal Code WritingRaw Data AnalysisFlatiron Data ExperienceSAS KnowledgePython KnowledgeObservational Study Analysis
Soft Skills
Strong CommunicationCollaboration Skills
Certifications & Qualifications
MS in Data ScienceMS in EpidemiologyMS in StatisticsMS in Public Health
Industry Keywords
Real-World DataReal-World AnalyticsHealthcare Coding SystemsUS HealthcareGlobal Healthcare
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Effectively designs and codes R and SQL programs for assigned project(s)
- Clean and validate RWD for consistency and reliability
- Implement programming as specified from RWE protocol
- Create or review and approve programming plans at study and project level
- Maintain clear documentation of analytical programming and operational definitions
- Develop dashboards, reports, and presentations to communicate findings
- Collaborate with members of study teams to meet study and recurring report timelines
Requirements
What you’ll need- MS in data science, epidemiology, statistics, public health, or related discipline
- At least 2-3 years of experience in Real-World Data (RWD) analysis and Real-World Analytics (RWA)
- Hands-on experience with Flatiron data required
- Fluency in SQL and R programming is required
- Experience writing original code and performing raw data analysis
- Knowledge of SAS and/or Python is considered an advantage
- Familiarity with US and global healthcare coding systems
- Experience conducting routine and advanced statistical analyses for RWE generation
- Deep understanding of observational study analysis
- Strong communication and collaboration skills
Benefits
Comp & perks- Health insurance
- Professional development