Job Title: Senior Analyst – Real World Evidence (RWE)
Company: Fortrea
Location: Bangalore, India
Department: Data Management & Data Science
Job Type: Full-Time
Experience Required: 3–5 Years of Experience in Real World Evidence (RWE) Analysis, Healthcare Data Analytics, or Biostatistics within the Pharmaceutical, Biotechnology, or CRO Industry
About Fortrea
Fortrea is a global Contract Research Organization (CRO) that delivers comprehensive clinical development, data science, and pharmacovigilance solutions to pharmaceutical, biotechnology, and medical device companies worldwide. With expertise in advanced analytics and real-world data insights, Fortrea helps clients generate evidence that supports clinical development, regulatory submissions, and healthcare decision-making.
Role Overview
The Senior Analyst – Real World Evidence (RWE) will provide programming and analytical support for real-world evidence studies conducted for Fortrea’s global clients. The role involves analyzing healthcare data from multiple real-world sources such as electronic health records (EHR), claims databases, hospital records, and observational studies.
This position requires strong expertise in data analytics, statistical programming, and healthcare data interpretation to generate actionable insights that support evidence-based healthcare research.
Key Responsibilities
Real World Data Analysis and Programming
Provide programming support for the analysis of real-world healthcare data from sources such as medical claims, pharmacy claims, hospital databases, electronic medical records, and observational studies.
Support data-driven research projects that generate real-world evidence for pharmaceutical and healthcare stakeholders.
Analysis Dataset Development
Develop and validate analysis-ready datasets from diverse data sources and file formats provided by internal teams and external data vendors.
Ensure accurate data transformation and preparation for statistical and analytical processes.
Programming Specifications Development
Contribute to the development of programming specifications based on project requirements, study protocols, and source data structures.
Statistical Output and Data Visualization
Develop and validate tables, listings, and figures (TLFs) used in exploratory data analysis and research reporting.
Create graphs and visualizations to support analytical findings and project insights.
Data Quality and Validation
Ensure high standards of data quality through validation checks and programming verification processes.
Maintain consistency and accuracy in analytical datasets and reporting outputs.
Documentation and Reporting
Prepare and maintain technical documentation for programming deliverables, analysis processes, and data management procedures.
Provide timely updates on project progress to project leads and cross-functional teams.
Knowledge Sharing and Collaboration
Present analytical findings and programming methodologies in departmental meetings.
Collaborate with statisticians, data scientists, epidemiologists, and project teams.
Process Improvement and Efficiency
Identify opportunities to improve programming processes and workflows to increase efficiency and productivity.
Contribute to the adoption of best practices in real-world data analytics and evidence generation.
Educational Qualifications
Bachelor’s or Master’s Degree in Computer Science, Engineering, Statistics, Health Informatics, Life Sciences, Mathematics, Economics, or Econometrics.
Equivalent professional experience may be considered in lieu of formal academic qualifications.
Experience Requirements
3–5 years of experience in Real World Evidence (RWE) analysis or healthcare data analytics within the pharmaceutical, biotechnology, or CRO industry.
Hands-on experience working with large healthcare datasets such as electronic health records (EHR) and claims databases including Optum, MarketScan, or Flatiron.
Technical Skills
Statistical Programming and Data Analysis
Strong proficiency in SAS and SQL programming for data analysis and dataset development.
Healthcare Data Management
Experience handling healthcare data sources including insurance claims, hospital databases, and electronic medical records.
Advanced Programming (Preferred)
Working knowledge of programming languages such as R and Python for advanced analytics and data processing.
Big Data and Complex Data Handling
Ability to work with large-scale datasets and complex data structures across multiple sources.
Data Visualization and Reporting
Experience developing graphs and visual outputs to communicate analytical insights.
Analytical and Problem-Solving Skills
Strong analytical mindset with the ability to interpret complex healthcare data and identify patterns.
Communication and Collaboration
Ability to communicate analytical findings clearly to cross-functional teams, including non-technical stakeholders.
Research and Statistical Knowledge
Understanding of advanced statistical and econometric methods applied in healthcare and real-world evidence studies.
Adaptability and Teamwork
Ability to work effectively in dynamic, cross-functional, and matrix organizational environments.
Work Environment
Flexible work environment with the option for office-based or home-based work depending on project requirements and management guidelines.
Equal Opportunity Employer
Fortrea is committed to fostering an inclusive and diverse workplace and provides equal employment opportunities to all qualified candidates regardless of gender, ethnicity, religion, disability, or other protected characteristics.
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