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# RWE Programmer

- **Company:** Fortrea Inc.
- **Location:** Durham, NC, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Health Informatics, Cloud Computing, Communications Protocols, Databases, R (Programming Language), Python (Programming Language), SAS (Software), Pyspark, Data Analytics, Databricks
- **Published:** October 20, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pszaqzw38v

## About the Role

* 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., * 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., * 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.

## Description

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.