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Careernet
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Senior Analyst - Clinical Data Management

Senior Analyst - Clinical Data Management

Careernet

4 - 6 years

10 - 16 Lacs

bengaluru

Posted:None| Platform:

Apply

Skills Required

imaging veeam clinical data management medical imaging clinical programming

Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Skills:

Roles and Responsibilities:

Act as the Trial Data Manager for 3-4 studies simultaneously, while overseeing data management for additional trials.
Provide leadership in defining and executing data management plans across the study lifecycle.
Review clinical protocols and offer feedback to enhance clarity and optimize data collection design.
Lead the planning and execution of eCRF design, database development, and UAT processes.
Manage and validate external data according to protocol requirements and predefined standards.
Ensure timely and accurate data cleaning, query resolution, and database lock activities.
Monitor trial progress and milestones; provide status updates and risk assessments to stakeholders.
Collaborate closely with the Clinical Trial Team (CTT) and Program Clinical Data Manager (PCDM).
Enforce data standards including CDISC/CDASH and ensure regulatory compliance across trials.
Mentor and support junior team members by sharing knowledge and promoting best practices.
Maintain compliance with GCP, SOPs, and applicable regulatory guidelines.
Stay informed about emerging tools, technologies, and industry data standards.

Skills Required:

Must-Have

Strong experience in Clinical Data Management and Clinical Programming
Ability to manage multiple studies independently, ensuring quality and regulatory compliance
Solid understanding of clinical trial processes, GCP, and data standards (e.g., CDISC)
Experience with eCRF design, EDC systems, and data validation workflows

Nice-to-Have:

Familiarity with Medical Imaging or Imaging data within clinical trials
Exposure to Veeam or similar imaging data management platforms
Experience mentoring or managing junior data management professionals
Knowledge of SAS, R, or other clinical programming tools is a plus

Education:

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