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Associate Medical Data Review Manager

Iqvia
IQVIA
3-5 years
preferred by company
Bangalore, India
1 May 6, 2026
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: MedDRA Coding, Medical Billing, Medical Coding, Medical Terminology, mRS and EQ-5D-5L., Narrative Writing, Research & Development, Technical Skill, Triage of ICSRs, WHO DD Coding

Associate Medical Data Review Manager

Location: Bangalore, India
Job Type: Full-Time
Experience Required: Minimum 3–5+ Years in Clinical Practice, Clinical Research, or Medical Data Review
Application Deadline: June 30, 2026
Industry: Clinical Research / Healthcare / Pharmaceutical


Job Overview

We are seeking an experienced and detail-oriented Associate Medical Data Review Manager to provide medical review expertise and support high-quality clinical data management activities within global clinical research projects. The selected candidate will play a key role in reviewing patient data, identifying medical inconsistencies, supporting clinical study teams, and ensuring medically accurate and protocol-compliant clinical datasets.

This role is ideal for professionals with medical or clinical research backgrounds who possess strong knowledge of clinical data sciences, medical terminology, therapeutic areas, and project management within CRO or pharmaceutical environments.


Key Responsibilities

Medical Data Review & Clinical Validation

  • Review and analyze patient clinical data to identify:
    • Medical inconsistencies
    • Protocol deviations
    • Patient anomalies
    • Data congruency and plausibility issues
  • Ensure clinical data accuracy and alignment with:
    • Study protocols
    • Medical standards
    • Regulatory requirements
  • Support structured patient data review from a clinical and medical perspective.

Clinical Project Management Support

  • Provide project management support to:
    • Clinical study teams
    • Internal stakeholders
    • Cross-functional project members
  • Assist with:
    • Workload projections
    • Issue escalation
    • Process optimization
    • Technical guidance
  • Participate in:
    • Kick-off meetings
    • Weekly project meetings
    • Client discussions
    • Clinical review sessions

Therapeutic Area & Clinical Expertise

  • Serve as a Subject Matter Expert (SME) for assigned therapeutic areas and clinical review processes.
  • Provide therapeutic area and indication training to project clinical teams.
  • Apply medical expertise in:
    • Pharmacology
    • Anatomy
    • Physiology
    • Clinical practice
    • Clinical data interpretation

Quality, Compliance & Process Improvement

  • Track service performance and support identification of:
    • Root causes
    • Compliance issues
    • Operational gaps
  • Ensure timely resolution of quality and compliance-related concerns.
  • Continuously identify opportunities to:
    • Improve operational efficiency
    • Enhance data review quality
    • Optimize project workflows

Stakeholder & Customer Management

  • Maintain strong relationships with:
    • Customers
    • Clinical teams
    • Internal stakeholders
    • Project managers
  • Support collaborative decision-making and ensure effective communication across project teams.
  • Provide customer-focused support while maintaining high-quality deliverables.

Required Qualifications

Educational Qualifications

Candidates must possess one of the following qualifications:

  • MBBS
  • Medical Degree with 5-year college qualification
  • Bachelor’s Degree in:
    • Clinical Sciences
    • Biological Sciences
    • Life Sciences
    • Healthcare
    • Or related medical disciplines

Equivalent combinations of education, skills, and experience may also be considered.


Preferred Qualifications

  • Certifications or additional expertise in:
    • Clinical Research
    • Medical Data Review
    • Pharmacovigilance
    • Clinical Data Management
    • Therapeutic Area Specialization
  • Experience in:
    • CRO environments
    • Pharmaceutical clinical operations
    • Clinical data sciences