RWE Analyst (Remote)

Role: RWE AnalystLocation: Remote (USA)Employment Type: W2Day-to-Day Job DutiesEngage with life sciences and healthcare clients to understand business, research, and analytics requirements.Analyze and interpret Real-World Data (RWD) from healthcare claims, EHR, and other healthcare data sources to generate actionable insights.Design, develop, and validate analytical solutions using SAS, R, SQL, and Python.Collaborate with cross-functional teams including researchers, statisticians, data engineers, and client stakeholders.Support data modeling, statistical analysis, and reporting activities for healthcare and life sciences projects.Apply SDLC best practices, version control, and code management standards in project delivery.Explore and implement AI-enabled solutions, automation opportunities, and productivity accelerators to improve project outcomes.Create project documentation, technical specifications, methodologies, and client presentations.Participate in client meetings, workshops, solution reviews, and knowledge-sharing sessions.Mentor junior team members and contribute to consulting practice development initiatives.Basic QualificationsBachelor's degree in Computer Science, Statistics, Mathematics, Life Sciences, Data Science, or related discipline.6+ years of experience in healthcare analytics, statistical programming, data engineering, consulting, or software development within life sciences, healthcare, or research environments.Minimum 5+ years of hands-on experience with SAS and/or R for statistical programming and analysis.Minimum 4+ years of experience with SQL for data extraction, transformation, and analysis.Minimum 3+ years of experience with Python for analytics, automation, or data engineering activities.Strong understanding of Real-World Evidence (RWE), healthcare claims, and Electronic Health Record (EHR) data.Experience working in global delivery or consulting environments with client-facing responsibilities.Strong analytical, problem-solving, communication, and stakeholder management skills.Degree:Bachelor's degree in Computer Science, Statistics, Mathematics, Life Sciences, Data Science, or a related field.Nice to Have (But Not Mandatory)Master's degree in Computer Science, Statistics, Data Science, Bioinformatics, Public Health, or related field.Experience with healthcare datasets such as MarketScan, Optum Clinformatics, Medicare, Flatiron, CPRD, MDV, or Optum EHR.Knowledge of AI/ML frameworks, OpenAI APIs, copilots, intelligent agents, or workflow automation solutions.Experience leading AI-driven transformation or automation initiatives.