Senior Clinical Data Risk Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Clinical Data Risk Analyst based in the United States. This is a senior clinical risk management opportunity focused on protecting data integrity, patient safety, and regulatory compliance across clinical studies. You’ll serve as a functional lead for multiple moderate-complexity studies, combining clinical data analysis with centralized monitoring expertise. The role involves identifying meaningful risks and trends through advanced analytics and centrally aggregated clinical data. You’ll help shape risk-based quality management strategies, define key risk indicators, and develop analytical approaches tailored to study-specific risks. Working across clinical, data, and operational teams, you’ll translate complex findings into actionable mitigation strategies and clear recommendations. You’ll also contribute to quality oversight, stakeholder communication, and the development of junior team members. This remote U.S. position offers the opportunity to influence clinical research quality while working in a collaborative, globally connected environment. Lead clinical data risk management and central monitoring activities across multiple moderate-complexity clinical studies. Facilitate risk-based quality management (RBQM) activities, including risk identification, assessment, planning, and mitigation. Evaluate clinical trial data to identify risks, trends, discrepancies, and emerging issues that could affect study outcomes, data integrity, patient safety, or regulatory compliance. Define and select Key Risk Indicators (KRIs) aligned with identified study risks and develop appropriate analytical approaches. Design advanced analytics requirements and programming specifications to support centralized monitoring and risk detection. Review centrally aggregated clinical data and interpret signals to identify potential risks and determine appropriate follow-up actions. Track signals, trends, and risk findings while communicating relevant insights to internal and external stakeholders. Conduct quality-control and oversight activities within centralized monitoring processes. Analyze data discrepancies and inconsistencies and provide recommendations that support informed clinical and operational decision-making. Collaborate with cross-functional teams to develop and implement effective risk mitigation strategies and maintain high standards of data quality. Provide guidance on data governance, compliance, and clinical research best practices. Build strong stakeholder partnerships to ensure alignment around risk management processes, analytical approaches, and data-quality expectations. Provide mentoring, guidance, and knowledge sharing to junior team members. Support system users and contribute to effective communication of clinical data trends and risk-related findings. Requirements 5+ years of experience in clinical data analysis, clinical risk management, or a related discipline within a clinical research organization, pharmaceutical company, or comparable environment. Bachelor’s degree or local equivalent, preferably in life sciences or a related field; an equivalent combination of education, training, and relevant experience may be considered. Strong analytical capabilities, including experience applying statistical software, data-analysis techniques, and clinical risk-assessment methodologies. Practical knowledge of risk-based quality management and centralized monitoring principles within clinical research. Experience working with at least one Clinical Data Management System or clinical analytics platform, such as Medidata RAVE, InForm, Veeva, Cluepoints, Medidata Detect, JReview, or similar tools. Strong ability to identify patterns, trends, discrepancies, and potential data risks with a high level of attention to detail. Experience developing or applying Key Risk Indicators, risk signals, or other d