RWE Database Analyst, Programmer

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Fortrea

WebsiteLinkedInAll Job Openings

10,000+ employees

🧬 Biotechnology

💊 Pharmaceuticals

⚕️ Healthcare Insurance

Biotechnology • Pharmaceuticals • Healthcare Insurance

Fortrea is a global clinical research organization (CRO) specializing in providing comprehensive clinical development services to biopharma and MedTech companies. With over 30 years of experience, Fortrea offers a range of services including clinical pharmacology, phase I-IV study management, regulatory strategy, market access, and more. They focus on advancing healthcare innovation by integrating data and scientific expertise to deliver tailored solutions that enable faster decision-making and improve patient outcomes, especially in the realm of cell and gene therapy programs, as well as various therapeutic areas like oncology, cardiovascular, and infectious diseases.

📋 Description

• 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.

🎯 Requirements

• Bachelor’s degree, preferably in mathematics, statistics, computing, life science, health science, or related subjects. • Experience: Minimum 2 years of experience in Real World Evidence, Epidemiology, Health Outcomes Research, or related environments. • Minimum 2 years of experience working with large healthcare databases such as Komodo, Marketscan, CPRD or MMIT. • 1+ years of experience in SAS programming within the pharmaceutical, biotechnology, CRO, healthcare analytics, or related industry. • Minimum 3 years of experience with R and/or 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. • Ability to communicate effectively with technical and non-technical stakeholders in a global environment.

🏖️ Benefits

• Health insurance • Professional development opportunities