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Clin Data Specialist

0-2 years
Not Disclosed
10 Sept. 23, 2025
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Causality Assessment, Clinical SAS Programming, Communication Skills, CPC Certified, GCP guidelines, ICD-10 CM Codes, CPT-Codes, HCPCS Codes, ICD-10 CM, CPT, HCPCS Coding, ICH guidelines, ICSR Case Processing, Interpersonal Skill, Labelling Assessment, MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Clinical Data Specialist

Location: Kochi, India (Hybrid)
Job ID: R1483495
Job Type: Full-time
Additional Locations: Available


Company Overview

IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments, improving patient outcomes and population health worldwide.

Learn more about IQVIA Careers


Job Description

As a Clinical Data Specialist, you will play a critical role in managing clinical data and ensuring accuracy, compliance, and high-quality deliverables.


Qualifications

  • Education:

    • Bachelor’s Degree in Clinical, Biological, Mathematical Sciences, or related field (Required)

    • Equivalent combination of education, training, and experience may be considered

  • Skills & Competencies:

    • Exposure to medical terminology

    • Strong organizational and communication skills

    • Proven leadership abilities

    • Proficiency in computer applications

    • Excellent attention to detail

    • Ability to work independently with initiative to resolve problems

    • Strong collaboration skills to build effective relationships with coworkers, managers, and clients


Key Responsibilities

  • Ensure clinical data quality and compliance with study protocols

  • Apply problem-solving skills independently and proactively

  • Maintain effective communication and collaboration with project teams, managers, and clients

  • Support data-related activities and contribute to study success