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 general 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 or MMIT)

- 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.

#LI-Remote

Learn more about our EEO & Accommodations request here.

📌 RWE Programmer (España)
🏢 Fortrea
📍 España