Senior Analyst, Data Acquisition

Overview

Design, build and validate clinical data acquisition solutions, working closely with clinical operations, statistics, IT and external vendors to ensure high quality and compliant study data.

What you'll do

• Design, develop, validate, and maintain complex clinical data review solutions and reporting assets.
• Lead implementation of CDB Checks, Listings, Reconciliations, Medical/Safety Reviews, PD Reviews, and CDMS reporting solutions.
• Translate protocol and business requirements into scalable, automated review workflows and visualizations.
• Provide technical oversight for solution architecture, coding standards, validation practices, and quality compliance.
• Develop reusable libraries, frameworks, and automation capabilities to improve efficiency and standardization.
• Support complex data reconciliations across EDC, laboratory, safety, imaging, and other external data sources.
• Mentor and provide technical guidance to programmers and study teams.
• Partner with Data Management and cross-functional stakeholders to deliver study milestones and inspection-ready outputs.
• Drive continuous improvement, innovation, and adoption of emerging technologies within clinical data review programming.

What you'll need

• Advanced experience in Clinical Data Management, Clinical Data Review Programming, or related clinical systems roles.
• Strong expertise in Veeva CDB, Veeva CDMS Reports, Domino, R, Python, SQL, and clinical data standards.
• Deep understanding of clinical trial processes, data review methodologies, reconciliation processes, and regulatory requirements.
• Demonstrated ability to lead complex technical initiatives and influence cross-functional stakeholders.
• Bachelor's degree in engineering, Life Sciences, Computer Sciences, Mathematics and Physics or equivalent.
• 4+ years of data acquisition experience or related job experience in Clinical Research or Information Systems and/or relevant scientific experience.

Details

• Location: Bengaluru Luxor North Tower.