Senior CDA, Client Facing – Min 5+ Years Data Management Experience

Posted 12hrs ago

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Job Description

Senior Clinical Data Associate leading data management, testing, reconciliation, and QC for Syneos Health’s global clinical trials. Home-based in Argentina, mentoring CDAs and supporting Project Data Managers.

Responsibilities:

  • Lead other Clinical Data Associates in all data management activities for global clinical trials
  • Provide support and act as backup for the Project Data Manager as required
  • Maintain awareness of contract and scope-of-work requirements and communicate status updates
  • Review and adhere to study-specific Data Management Plans
  • Create test data and perform User Acceptance Testing for data entry screens, edit checks, listings, study roles, and SDV configurations
  • Review discrepancy outputs and validation listings; query discrepancies and apply permitted self-evident corrections
  • Resolve and re-query answered queries where appropriate
  • Perform quality control checks for paper and EDC studies
  • Coordinate paper-study quality control and document filing
  • Participate in internal meetings, in-process reviews, audits, and inspections
  • Maintain proficiency in data management systems and processes through training
  • Perform SAS mapping quality-control checks
  • Oversee, train, mentor, and review the work of other Clinical Data Associates
  • Reconcile external databases and datasets with clinical database data
  • Run data-cleaning and status reports and perform Serious Adverse Event reconciliations
  • Liaise with Clinical Programming, Biostatistics, and Clinical Operations
  • Create ad-hoc data-cleaning reports and specifications for validated listings
  • Perform post-migration testing
  • Participate in customer and third-party meetings and distribute accurate meeting minutes
  • Review database design specifications and design or review CRFs/eCRFs
  • Provide input into Data Validation Specifications and edit checks
  • Produce study metrics reports and support Project Data Manager activities
  • Create Discoverer, BOXI, and J-Review reports
  • Create, update, and review study-specific documents and data-transfer requests
  • Review queries and self-evident corrections proposed by less experienced data-management staff
  • Provide EDC training to internal and external team members
  • Serve as a platform- or process-specific Subject Matter Expert
  • Perform quality control of the Data Management Study File during study conduct
  • Represent the department at business-development meetings when required
  • Perform activities in compliance with corporate practices, SOPs, and work instructions

Requirements:

  • Minimum 5+ years of previous data management experience
  • BA/BS degree in biological sciences or related natural science/healthcare disciplines
  • Advanced English level
  • Prior experience in therapeutic area Oncology
  • Knowledge of clinical data and ICH/Good Clinical Practices
  • Proficiency navigating MS Windows and using MS Word, Excel, and email applications
  • Excellent keyboard speed and accuracy
  • Familiarity with medical terminology
  • Excellent written and spoken communication, presentation, and interpersonal skills
  • Good organizational, planning, and time-management skills
  • Ability to multitask under tight deadlines with attention to detail
  • Ability to work independently and as part of a multidisciplinary team
  • Ability to perform a leadership function in data management, including effective mentoring
  • Ability to deal effectively with sponsors and internal customers
  • Experience with data-management practices and relational database-management software preferred
  • Oracle Clinical, Rave, or Inform systems experience preferred
  • Work experience in clinical research, drug development, data management, or another healthcare environment preferred
  • Ability to be flexible and adapt to change
  • Responsible for compliance with applicable corporate business practices, SOPs, and work instructions

Benefits:

  • Career development and progression
  • Supportive and engaged line management
  • Technical and therapeutic area training
  • Peer recognition and total rewards program
  • Inclusive culture
  • Comprehensive resources including emerging technologies, data, science and knowledge sharing
  • Opportunities for specialized therapeutic or functional team collaboration
  • Exposure to multiple career paths and employment opportunities