Clinical Data Manager

6 days ago

Tirupati, Andhra Pradesh, India beBeeDataManagement Full time ₹ 9,00,000 - ₹ 14,50,000

Job Title: Clinical Data Management Specialist

We are seeking a highly skilled professional to manage and analyze clinical trial data, ensuring high-quality deliverables.

Main Responsibilities:

  • Data Management: Define project specifications for data management services, including protocol conversion, database build, CRF design, and data review and reconciliation tools.
  • Data Analysis: Execute data cleaning strategies to accelerate the time to achieve subject data cleanliness and ensure high-quality, timely deliverables.
  • Trend Analysis: Perform holistic data review and trending analysis via reporting and analytics to proactively identify issues, risks, and develop mitigation strategies.
  • Artificial Intelligence: Utilize AI and machine learning for anomaly and outlier detection to enhance the efficiency and quality of trial data.
  • Reporting: Monitor and interpret key performance indicators (KPIs), metrics, dashboards, clinical trial operational analytics (CTOA), and reports to provide actionable recommendations.
  • Collaboration: Collaborate with technical teams on configuration of centralized data management platforms, data cleaning strategies, and oversight activities.
  • Documentation: Prepare and maintain data management documentation, such as DMPs, CCGs, help texts, and DVS.
  • Quality Control: Review and ensure the quality control of team-developed deliverables, covering eCRFs, study documents, program/report specifications, outputs, and centralized data management platforms.

About the Role:

This role involves managing and analyzing clinical trial data to ensure high-quality deliverables. The ideal candidate will have strong data management skills, experience with data analysis, and knowledge of artificial intelligence and machine learning.

Requirements:

To be successful in this role, you will need to have:

  • Strong data management skills, including experience with data analysis and quality control.
  • Knowledge of artificial intelligence and machine learning techniques for anomaly and outlier detection.
  • Ability to collaborate with technical teams and configure centralized data management platforms.
  • Excellent communication and documentation skills.

Benefits:

This role offers a competitive salary and benefits package, including opportunities for professional development and growth.

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