As a Principal Clinical Data Reviewer/Scientist, you will play a critical leadership role in ensuring the integrity, scientific rigor, and strategic value of clinical trial data across all phases of development. You will apply deep clinical and scientific expertise to assess data quality, plausibility, and completeness, while proactively identifying trends, signals, and potential risks related to study endpoints and patient safety. What You’ll Do Lead clinical and scientific data review activities across assigned clinical studies, ensuring data accuracy, consistency, and alignment with protocol expectations and therapeutic objectives. Identify insights, trends, and risks through comprehensive data analysis and interpretation, enabling early detection of data quality issues and safety signals. Design, test, and refine clinical data review tools—including listings, reports, and visualizations—to support robust data exploration, signal detection, and discrepancy management. Collaborate closely with cross‑functional teams, including Clinical Development, Biostatistics, Pharmacovigilance, and Study Operations, to drive data‑driven decision-making and ensure high-quality trial execution. Manage timelines and deliverables with a strong commitment to quality, efficiency, and proactive communication. Contribute to risk management by identifying, documenting, and supporting mitigation of study‑level data risks. Support strategic initiatives within and beyond the Data Management organization, bringing scientific and operational insight to process innovation and continuous improvement. Leverage metrics and analytics to monitor data trends, assess study health, and enhance data review strategies. Who You Are You have a strong passion for scientific data excellence and clinical research quality. You possess strong analytical skills with the ability to translate complex data into actionable insights. You have a strong collaborative mindset with the ability to work effectively across multifunctional teams. You are committed to maintaining the highest quality execution and continuous improvement in data review practices.
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Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees