We're looking for an experienced Real‐World Evidence (RWE) Analyst & Programmer to support RWE studies for a global pharmaceutical company. You'll join the Policy, Payers & Real‐World Evidence department and collaborate closely with epidemiologists and RWE experts to analyze internal and external healthcare databases.
This is a long‐term contract role, fully remote possible (except from Germany and the UK). Freelancers are welcome, and for candidates based in Belgium, an employee contract is also possible.
What You'll Do
* Partner with RWE experts to implement study protocols and clarify requirements
* Develop, validate, and document statistical analysis programs (R, Python, SAS)
* Participate in protocol reviews and internal governance processes
* Provide technical expertise on healthcare databases and data quality
* Communicate with stakeholders to align on protocols, timelines, and deliverables
* Work iteratively, offering insights and improvements throughout the study lifecycle
Experience We're Looking For
* 2+ years in RWE, epidemiology, or health outcomes
* 2+ years working with large healthcare databases (e.g., CPRD, Merative MarketScan)
Must‐Have Skills
* Strong programming experience in R and/or Python (SAS is a plus)
* Hands‐on experience with large healthcare datasets
* Advanced statistical programming and epidemiological analysis skills
* Excellent command of English
* Strong communication and collaboration abilities
* Self‐driven, organized, and able to work independently
* Fluency in English
Ideal Candidate Profile
* Experience with data visualization tools (Power BI, Shiny)
* Knowledge of matching algorithms (e.g., propensity score matching)
* Background in descriptive and advanced pharmacoepidemiology
* Proactive, analytical, and structured approach to problem‐solving
* Ability to manage multiple tasks in a fast‐paced environment
Nice to Have
* SAS experience (the team is transitioning away from it)
* Familiarity with additional statistical or programming tools
* Experience working in global, cross‐functional teams