Senior Specialist Clinical Data Reporting

Job description

**Role & responsibilities** The Senior Specialist, Clinical Data Reporting supports the development and delivery of highquality clinical data reporting outputs that enable efficient data review and operational oversight across clinical studies. This role is primarily focused on handson clinical data programming, transforming complex clinical and operational datasets into accurate, consistent, and actionable reports using established data management processes, enterprise data sources, and standardized reporting frameworks. Key responsibilities include programming participantlevel data review listings, exception reports, external data reconciliation outputs, and operational performance reports. The role ensures accuracy, consistency, and adherence to reporting standards while contributing to continuous improvement of reporting tools and methodologies. The ideal candidate brings strong technical expertise in clinical data programming, clinical data management systems and processes, external data reconciliation, and reporting techniques. They will collaborate with crossfunctional teams to understand reporting requirements and ensure timely, reliable delivery of studylevel reporting outputs. **Preferred candidate profile** - Bachelors or Master’s degree in Data Science, Computer Science, Life Sciences, or a related field. - 4+ years of experience in clinical data, data visualization, or related disciplines, with a strong background in creating interactive reporting solutions, KPIs, and metrics to support clinical trial oversight. - Proficiency in EDC systems (e.g., Medidata RAVE) and analytics, reporting and data visualization tools such as SAS, R, Python, JReview, elluminate, , Tableau, Power BI, or Spotfire. - Experience with risk-based data review concepts, data quality standards, and strong understanding of data lifecycle management in a regulated environment. - Strong understanding of clinical trial processes, clinical data standards (e.g., CDISC), and regulatory requirements (e.g., GCP, GDPR, HIPAA). - Experience with data lakes, data pipelines, data integration, automation, reporting and analytics in a clinical research environment. - Excellent communication and stakeholder management skills.