Clinical Data Analyst II

Job Summary

Labcorp is seeking a Clinical Data Analyst II to join our team at Yeshwantpur in Bengaluru, Karnataka.

Work Schedule

• Rotational Shift
• PM: 02:00 PM - 11:00 PM
• Night: 06:00 PM - 03:00 AM

Role Overview

The Clinical Data Analyst II is responsible for managing the end-to-end resolution of data discrepancies between clients (Sponsors, CROs, and Investigators) and Labcorp databases. This role partners closely with clients to understand their data management needs, develop and implement study-specific data cleaning strategies, perform data reconciliation activities, and ensure accurate and timely database updates. Serving as a primary point of contact for external clients, the Clinical Data Analyst II leads communications related to data cleaning and query reconciliation, negotiates timelines, and provides expert guidance to facilitate effective issue resolution. Additionally, the role provides technical and administrative support to internal teams and leverages extensive knowledge of Labcorp databases and clinical data management processes to ensure data quality and client satisfaction.

Responsibilities

• Collaborate with clients and CRO Data Managers to develop and execute study-specific query management and data cleaning strategies.
• Manage reconciliation activities, monitor data lock schedules, and ensure completion of deliverables within study timelines.
• Perform critical data revisions as needed to achieve study milestones, adhering to established data revision and data cleaning processes.
• Analyze, investigate, and resolve data discrepancies in compliance with GCP, regulatory requirements, and project standards.
• Serve as the primary liaison between clients, Labcorp departments, and cross-functional teams for data reconciliation and data quality activities.
• Lead cross-functional communications and stakeholder engagement to drive timely resolution of data issues, escalations, and project risks.
• Respond to client inquiries, negotiate priorities and timelines, and provide effective solutions to support study objectives.
• Review study documentation, including protocols and Statements of Work (SOWs), to ensure compliance with study and contractual requirements.
• Perform quality reviews of data updates, query resolutions, reports, and communications to ensure accuracy, consistency, and compliance.
• Generate, analyze, and interpret reconciliation and database reports to identify issues, trends, and improvement opportunities.
• Proactively identify, escalate, and manage risks that may impact data quality, reconciliation activities, or study milestones.
• Effectively manage workload and competing priorities to meet project deadlines, turnaround times, and client expectations.
• Support the implementation, standardization, and continuous improvement of global processes, procedures, and best practices.
• Assist with audits, CAPA activities, reportable issues, inspections, and other quality and compliance initiatives.
• Provide advanced technical and administrative support for CLS data processing systems, lead resolution of complex process and application issues, and coach team members to promote knowledge sharing and operational excellence.

Minimum Qualifications

• Bachelor's degree in science or related field.
• Minimum of 3 years of clinical research experience.

Preferred Qualifications

• Bachelor's or master's degree in science, Life Sciences, Data Management, or related field.
• Minimum of 5 years of professional experience.

Additional Job Standards

• Strong understanding of data revision/reconciliation processes and lab/clinical data management.
• Proficient in English, both written and verbal.
• Prior experience in lab/clinical data management or healthcare, medical or laboratory functions.
• Proficiency in Microsoft Office applications, including Word, Excel, and Outlook.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.