Senior Clinical Data Manager

LEAD CLINICAL DATA MANAGER Contract Length: 6-12+ months renewable Location: Remote – Flexible on US Time zone Pay Rate: $70-90/hour on W2 OR $80-100/hour on C2C Position Summary The Lead Clinical Data Manager will oversee and execute data management activities across multiple clinical trials, serving as the primary liaison between internal teams, CROs, and external vendors. This role requires a hands-on data manager who can balance study oversight with direct involvement in data review, reconciliation, and issue resolution to ensure the delivery of high-quality clinical data. Key Responsibilities Lead clinical data management activities across studies in startup, conduct, and closeout phases. Manage CROs and external vendors to ensure timely, high-quality deliverables. Perform hands-on data review, data cleaning, query management, and batch review activities. Conduct SAE reconciliation and oversee integration of IRT and other external data sources. Support database design review, User Acceptance Testing (UAT), and database lock activities. Utilize EDC systems, reporting tools, and data visualization platforms to monitor data quality and study progress. Manage multiple priorities across studies and vendors while meeting aggressive timelines. Independently address urgent data management needs and drive issue resolution. Qualifications Bachelor's degree in a scientific or related field. 8+ years of Clinical Data Management experience within biotech, pharma, medical device, or CRO environments. Experience leading Phase I–III clinical trials. Strong CRO and vendor management experience. Hands-on experience with data review, cleaning, reconciliation, and database lock activities. Experience with EDC systems and external data integrations, including IRT. Ability to manage multiple studies and priorities in a fast-paced environment. Preferred Oncology clinical trial experience. Experience with Medidata Rave, Veeva EDC, Oracle InForm, or similar platforms. Experience with reporting, visualization, and AI-enabled analytics tools.