Senior RWE Research Analyst

As a Senior Real-World Evidence (RWE) Research Analyst at our company, your role involves providing scientific leadership and methodological oversight for observational database analytics and RWE projects. You will be responsible for study design, protocol development, scientific interpretation, and communication with stakeholders, ensuring that evidence generation activities are scientifically rigorous and aligned with organizational objectives. Key Responsibilities: - Lead the scientific design of observational studies, defining research questions, study populations, exposure/outcome definitions, and analytical approaches. - Develop and own protocols, statistical analysis plans, and analysis specifications for RWE projects, ensuring methodological rigor and alignment with internal standards. - Conduct and document study feasibility assessments, evaluating data source appropriateness and analytical viability. - Define codelist specifications and variable definitions for data analysts to implement; review completed codelists for clinical and scientific accuracy. - Provide scientific direction on study amendments and respond to methodological questions from cross-functional partners. - Serve as the scientific point of contact for assigned RWE projects, coordinating timelines and deliverables with Data Analysts and other team members. - Track and document project communications, decisions, and risks; proactively escalate issues to team lead. - Review analytical outputs for scientific accuracy and alignment with SAP specifications; provide clear feedback to Data Analysts. - Interpret analytical results within the clinical and scientific context; Translate findings into actionable insights for medical affairs stakeholders. - Author study reports, manuscripts, and scientific communications; Present findings to internal and external audiences. - Conduct scientific quality review of study outputs, focusing on clinical interpretation, methodological soundness, and alignment with objectives. - Mentor junior research analysts on scientific methods, study design principles, and stakeholder engagement. - Partner effectively with Data Analysts, providing clear scientific direction while respecting their technical expertise in execution. Qualifications Required: - Bachelors degree in a field such as epidemiology, biostatistics, statistics, bioinformatics, economics, or equivalent with 5+ years of experience in research in the pharma industry or related disciplines. - Masters degree with 3+ years of experience or PhD with 2+ years of experience in a related field. - Track record of operational excellence in analytics and experience with data from medical records, registry databases, and insurance claims databases. - Extensive experience in statistical methods for analysis of observational data and creating codelists. - Strong project management, communication, and team collaboration skills. - High ethical values and standards, with a keen interest in working in the pharma industry. In conclusion, as a Senior RWE Research Analyst, you will play a crucial role in leading scientific research projects, ensuring high-quality outcomes, and contributing to the advancement of evidence generation activities in the pharmaceutical industry. As a Senior Real-World Evidence (RWE) Research Analyst at our company, your role involves providing scientific leadership and methodological oversight for observational database analytics and RWE projects. You will be responsible for study design, protocol development, scientific interpretation, and communication with stakeholders, ensuring that evidence generation activities are scientifically rigorous and aligned with organizational objectives. Key Responsibilities: - Lead the scientific design of observational studies, defining research questions, study populations, exposure/outcome definitions, and analytical approaches. - Develop and own protocols, statistical analysis plans, and analysis specifications for RWE projects, ensuring methodological rigor and alignment with internal standards. - Conduct and document study feasibility assessments, evaluating data source appropriateness and analytical viability. - Define codelist specifications and variable definitions for data analysts to implement; review completed codelists for clinical and scientific accuracy. - Provide scientific direction on study amendments and respond to methodological questions from cross-functional partners. - Serve as the scientific point of contact for assigned RWE projects, coordinating timelines and deliverables with Data Analysts and other team members. - Track and document project communications, decisions, and risks; proactively escalate issues to team lead. - Review analytical outputs for scientific accuracy and alignment with SAP specifications; provide clear feedback to Data Analysts. - Interpret analytical results within the clinical and scientific context; Translate findings into actionable i