Data Management Expert

18 hours ago

Mysore, Karnataka, India beBeeDataManagement Full time ₹ 80,00,000 - ₹ 1,00,00,000
Clinical Data Management Professional

Job Description:

As a Clinical Data Management Professional, you will be responsible for defining project specifications, executing data cleaning strategies, and utilizing artificial intelligence (AI) and machine learning (ML) for anomaly and outlier detection.

Key Responsibilities:

  • Define project specifications for Data Management services, including Protocol Conversion, Database Build, CRF Design, and Data Review and Reconciliation tools.
  • Understand external data collection, its integration into the clinical trial, and the management and reconciliation processes required to ensure its accuracy and relevance.
  • Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
  • Perform holistic data review and trending analysis via reporting and analytics to proactively identify issues, risks, and develop mitigation strategies.
  • Utilize AI and ML for anomaly and outlier detection to enhance the efficiency and quality of trial data.
  • Monitor and interpret key performance indicators (KPIs), metrics, dashboards, and reports to provide actionable recommendations.
  • Perform Query Management.
  • Define specifications and collaborate with technical teams on configuration of centralized data management platforms.
  • Prepare and maintain data management documentation and update throughout the trial lifecycle.
  • Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and analytics modules.
  • Collaborate and work as a team to ensure deliverables are completed on time with high quality.
  • Ensure compliance with industry quality standards, regulations, guidelines, and procedures.

Requirements:

To succeed in this role, you will need:

  • Experience in defining project specifications and executing data cleaning strategies.
  • Knowledge of AI and ML for anomaly and outlier detection.
  • Understanding of data management and reconciliation processes.
  • Ability to monitor and interpret KPIs, metrics, and dashboards.
  • Excellent communication and collaboration skills.
  • Compliance with industry quality standards, regulations, guidelines, and procedures.

Benefits:

This role offers:

  • A dynamic and collaborative work environment.
  • Opportunities for professional growth and development.
  • Competitive compensation and benefits package.

How to Apply:

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