
Clinical Data Manager
Posted Jul 29

Posted Jul 29
This is a fully remote position, open to applicants in California.
• Oversee comprehensive clinical data management processes for companion diagnostic studies, encompassing data acquisition, database design, data review, external data integration, reconciliation, quality control, database locking, and the creation of submission-ready datasets that facilitate global regulatory submissions.
• Direct the design, validation, user acceptance testing (UAT), maintenance, and database locking activities of EDC/CRF systems to meet regulatory reporting requirements for CDx studies in compliance with relevant regulations and company policies.
• Collaborate with Biostatistics and Programming teams to ensure the development of submission-ready SDTM and ADaM datasets that support PMA, 510(k), De Novo, NDA, and BLA submissions.
• Assist in the preparation of submission-ready clinical data packages for FDA PMA, PMA supplements, 510(k), NDA/BLA companion diagnostic submissions, and international regulatory filings, including EU IVDR.
• Implement risk-based data management principles to identify critical data and proactively address data quality risks throughout the study lifecycle.
• Maintain inspection readiness by ensuring the availability of complete, traceable, and auditable records, while serving as a clinical data management subject matter expert during audits and regulatory inspections.
• Create Data Transfer Specifications that outline deliverables, formats, and timelines; serve as the primary point of contact for internal teams and pharmaceutical partners.
• Write and maintain data management documentation throughout the study lifecycle, which includes SOPs, process flows, data management plans, CRFs, and database specifications.
• Act as a subject matter expert (SME) representing Agilent externally and OCMO internally, working with cross-functional teams (Clinical Development, Clinical Operations, CROs, Pharmaceutical Partners, Biostatistics, Quality Affairs/Design Assurance, and Regulatory Affairs) to coordinate data-related activities and ensure accurate, compliant, and timely data transfers.
• Exhibit proficiency in data format standards (e.g., CDISC SDTM ADaM and LAB) and their integration with various EDC platforms.
• Conduct quality control checks to guarantee accurate, complete, and compliant data for Agilent's internal projects and external data submissions to pharmaceutical partners.
• Identify and escalate data integrity issues; propose process enhancements as necessary.
• Plan, coordinate, and oversee data management activities across programs to ensure consistency in clinical data standards.
• Serve as the Data Management Subject Matter Expert for Agilent’s BioPharma CDx Services Lab (BCSL).
• Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field OR a Master's degree or advanced degree (e.g., Ph.D., Pharm. D., M.D.) in pharmaceutical, medical, or relevant biomedical sciences with experience in data management.
• An advanced degree is preferred.
• A minimum of 5-8 years of clinical data management experience in biotechnology, pharmaceuticals, medical devices, diagnostics, or companion diagnostic development.
• Practical experience with CDISC standards, including SDTM, ADaM, CDASH, and Define.xml.
• Proven experience in designing and managing studies utilizing EDC platforms such as Medidata Rave, Veeva CDMS/EDC, Oracle InForm, REDCap, or equivalent systems.
• Direct experience in supporting oncology clinical trials, biomarker-driven studies, companion diagnostics, precision medicine programs, or regulated IVD development is strongly preferred.
• Ability to interpret regulatory standards, guidelines, and laws.
• Exceptional capability to manage multiple projects in a dynamic environment with shifting priorities.
• Must possess the ability to work independently, interpret complex scientific and clinical data, and take the initiative to lead projects and assignments.
• Experience working with external partners and/or regulatory agencies.
• Knowledge of cancer diagnostics, Oncology, and/or Pathology is preferred.
• Health insurance
• Retirement plans
• Paid time off
• Flexible work arrangements
• Professional development
• Bonuses
• Stock options
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