RWE Programmer
Job Title: RWE Programmer Job Location: Warsaw Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: We are currently seeking a RWE Programmer to join a sponsor-dedicated team supporting a global pharmaceutical partner. This is a fully home-based opportunity. As a RWE Programmer, you will serve as a subject matter expert in Real World Data analytics and support the analysis of large healthcare databases to generate high-quality RWE for current and future compounds. Working closely with RWE Scientists, Epidemiologists, Statisticians, and cross-functional stakeholders, you will contribute to study design, analytical strategy, database evaluation, programming, and interpretation of study results. This is a highly visible global role that combines advanced programming expertise with strong epidemiological and analytical knowledge. Summary of Responsibilities:
- Supports Statistical programming activities in Real World Evidence.
- Provides input on study design and analysis plans where necessary.
- Develops, validates, maintains, and documents analysis programs and other study documents.
- Provides input on interpretation of results and reviews publications
- Evaluates the quality of the database.
- Provides technical database expertise to stakeholders
- Ensures that statistical outputs are produced in an efficient manner.
- Reviews the study concept, protocol design, analysis plans and other study-related documents.
Qualifications (Minimum Required):
- Bachelor’s degree, preferably in mathematics, statistics, computing, life science, health science, or related subjects.
- Experience and/or education plus relevant work experience, equating to a Bachelor's degree.
- Fortrea may consider relevant and equivalent experience in lieu of educational requirements.
Experience:
- Typically 3-5 years of experience in Real World Evidence, Epidemiology, Health Outcomes Research, or related environments.
- Experience working with large healthcare databases such as Komodo, Marketscan, CPRD orMMIT)
- Experience in SAS or R programming within the pharmaceutical, biotechnology, CRO, healthcare analytics, or related industry.
- Python programming.
Skills & Competencies
- Strong understanding of Real World Evidence, epidemiology, and observational research methodologies.
- Knowledge of statistical and epidemiological analysis methods; experience with propensity score matching is a plus.
- Experience with Azure Databricks, PySpark, sparklyr, or other cloud-based analytics platforms is advantageous.
- Strong analytical, problem-solving, and data interpretation skills.
- Ability to communicate effectively with technical and non-technical stakeholders in a global environment.
- Strong organizational skills with the ability to manage multiple priorities and work independently.
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