Senior Clinical Data Analyst

2 days ago

Mumbai, Maharashtra, India beBeeData Full time
Job Description

We are seeking an experienced Clinical Data Scientist to lead our clinical trial data management activities. As a key member of our team, you will be responsible for providing leadership across assigned trials and acting as the Trial Data Manager when needed.

  • Manage data load, transfer, and conformance of clinical trial data to NCDS compliant standards, ensuring timely and high-quality deliverables.
  • Perform data management activities for study start-up, including data handling plans, data review plans, and user acceptance testing (UAT).
  • Lead process and training deliverables within the platform or processes, ensuring compliance with global regulatory requirements and achieving business objectives.
Key Responsibilities:
  • Conduct ongoing review of all data generated from clinical studies, including third-party and local lab data, and perform SAE reconciliation where applicable.
  • Generate study status reports for use at clinical trial team meetings and support junior staff for assigned trials.
  • Lead DAP activities for assigned project-level activities for phase I to IV clinical studies and participate in improvement initiatives and nonclinical projects.
Essential Requirements:
  • Proven experience in clinical data management, data governance, data integrity, and data quality.
  • Strong project management skills with the ability to manage multiple tasks and projects simultaneously.
  • Cross-cultural experience and functional breadth in managing clinical data management activities.
  • Ability to recognize and resolve protocol issues that may impact database design, data validation, and analysis/reporting.
  • Excellent communication and interpersonal skills to establish and maintain strong working relationships with study teams and functional lines.
  • Proficiency in using data management tools to generate listings for data review and provide these to study teams.
Skills Desired:

Clinical Data Management, Databases, Data Governance, Data Integrity, Data Management, Data Quality, Data Science, Waterfall Model

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