eCOA Data Specialist

IQVIA India · India

Project Role: eCOA Data Specialist

Work Experience: 3+ Years

Work location: Bangalore/Mumbai

Work Mode: Hybrid

Job Overview:

Provide basic and some comprehensive data management expertise to the eCOA Data Management (DM) team to deliver efficient, quality data management products that meet customer needs. Manage the end-to-end delivery of eCOA data management services for multi-service projects approx. 10 studies under the supervision of the Data Team Lead (DTL)/ Sr DTL, or Functional Manager. Ensure quality deliverables are provided on time, meeting customer satisfaction

Essential Functions:

• Undertake eCOA Data Management activities for assigned studies, with/without supervision
• Oversee the setup, implementation, and ongoing management of study data integrations and transfers with appropriate independence as needed
• Ensure all deliverables meet expected quality standards, contractual commitments, customer expectations, and applicable Scope of Work (SOW) requirements.
• Manage project progress across assigned studies, proactively identify delivery risks, implement corrective actions, and escalate critical issues to protect timelines and quality
• Collaborate with Line Management, programming teams, and cross-functional stakeholders to support delivery excellence, automation, innovation, and continuous improvement
• Own data cleaning, quality control, and data review activities to maintain data integrity and deliver clean, inspection-ready data to sponsors within agreed timelines
• Maintain compliance with required trainings, eSOPs, study protocols, regulatory expectations, and internal quality requirement

Qualifications

• Bachelor’s degree in pharmacy or equivalent preferred.3-6 years of direct data management experience, preferably a minimum of 1 year as a CDM project lead.
• Good to have experience in electronic Clinical Outcome Assessment (eCOA) or Decentralized Clinical Trials (DCT)
• Advanced proficiency in English, both spoken and written.
• Advanced skills in computer applications like Microsoft Excel, Word, Outlook, etc
• Advanced understanding of the drug development lifecycle and overall clinical research proceed.