RWE Database Analyst Programmer

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. Learn more about our EEO & Accommodations request here. Originally posted on Himalayas