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Director Medical Data Review

Amgen
18+ years
INR 120 LPA – 180 LPA
Hyderabad
1 June 18, 2026
Job Description
Job Type: Full Time Education: B.Sc/M.Sc/M.Pharma/B.Pharma/Life Sciences Skills: Clinical Trials, Detail-Oriented, Drug Development, Lifesciences, Negotiation Skills, Regulatory Compliance, Communication Skills, CPC Certified, CPT, Data Analysis, Document Management, Life Science, Regulatory Compliance, Waterfall Model, GCP guidelines, HCPCS Level II, ICD-10-CM

Director – Medical Data Review

Department: Global Clinical Development
Location: Hyderabad, India
Company: Amgen
Job ID: R-245990
Reporting To: Senior Director / Executive Director – Clinical Development
Experience: 18+ Years
Education: MD / MBBS / PharmD / Master's / Doctorate in Life Sciences, Clinical Research, Pharmacy, Public Health, or related discipline


Role Summary

The Director – Medical Data Review is accountable for defining and executing the enterprise-wide strategy for Medical Data Review (MDR), clinical data quality, and risk-based clinical oversight across all therapeutic areas and development phases.

The role leads the transformation of traditional medical review processes into scalable, technology-enabled, AI-assisted clinical oversight capabilities that support patient safety, regulatory compliance, and accelerated clinical development.

This position serves as a strategic leader across Clinical Operations, Data Management, Medical Monitoring, Pharmacovigilance, Biostatistics, and Digital Innovation functions.


Strategic Leadership Responsibilities

1. Enterprise Medical Data Review Strategy

  • Define and execute the global vision and multi-year roadmap for Medical Data Review.

  • Develop future-state operating models for:

    • Medical Review

    • Risk-Based Quality Management (RBQM)

    • Integrated Data Review

    • Predictive Risk Management

  • Align MDR strategy with enterprise R&D objectives.


2. Clinical Data Quality & Risk Management

  • Establish enterprise-wide quality frameworks.

  • Define:

    • Review standards

    • Quality benchmarks

    • Risk thresholds

    • Governance processes

  • Ensure consistent clinical data review practices across the development portfolio.

  • Drive proactive identification and mitigation of clinical risks.


3. AI, Automation & Digital Transformation

  • Lead adoption of:

    • Artificial Intelligence (AI)

    • Machine Learning (ML)

    • Advanced Analytics

    • Predictive Risk Models

    • Automated Signal Detection Systems

  • Implement technology-enabled review processes to improve quality and efficiency.

  • Evaluate emerging digital innovations and translate them into operational capabilities.


4. Cross-Functional Enterprise Leadership

Partner with senior leaders across:

  • Clinical Operations

  • Clinical Development

  • Medical Monitoring

  • Data Management

  • Biostatistics

  • Pharmacovigilance

  • Regulatory Affairs

  • Digital & Technology Organizations

Drive alignment across quality, timelines, cost, and risk objectives.


5. Governance & Oversight

  • Establish executive-level governance structures.

  • Lead portfolio-wide review forums.

  • Provide oversight of:

    • Clinical data quality

    • Medical review effectiveness

    • Safety signal management

    • Risk escalation pathways

  • Ensure organizational accountability and transparency.


6. Organizational Leadership

  • Lead and develop global MDR teams.

  • Drive:

    • Workforce planning

    • Talent acquisition

    • Capability development

    • Succession planning

  • Build scalable operating models to support global studies.


7. Inspection Readiness & Compliance

  • Own the enterprise strategy for inspection readiness.

  • Ensure:

    • Audit-ready documentation

    • Traceability of medical review decisions

    • Regulatory compliance

    • Risk-based oversight practices

  • Support regulatory inspections and executive issue management.


8. Operational Excellence

  • Implement performance management frameworks.

  • Establish enterprise KPIs and metrics.

  • Drive process optimization and standardization initiatives.

  • Improve study execution predictability and efficiency.


9. Innovation & Continuous Improvement

  • Monitor industry best practices and emerging trends.

  • Champion innovation in:

    • Clinical Data Sciences

    • Medical Monitoring

    • Risk-Based Monitoring

    • Data Visualization

    • AI-enabled Clinical Development

  • Translate innovations into measurable business outcomes.


Key Performance Indicators (KPIs)

  • Clinical data quality metrics

  • Safety signal detection effectiveness

  • Risk identification and mitigation outcomes

  • Inspection readiness performance

  • Study delivery predictability

  • AI and automation adoption metrics

  • Team capability development

  • Organizational productivity improvements

  • Stakeholder satisfaction


Required Qualifications

Education

  • MD (Preferred)

  • MBBS

  • PharmD

  • Master's Degree

  • Doctorate (PhD)


Experience

  • Approximately 18+ years in:

    • Clinical Development

    • Medical Monitoring

    • Medical Review

    • Clinical Operations

    • Pharmacovigilance

    • Clinical Data Sciences

  • Minimum 9+ years of experience in:

    • Medical Monitoring

    • Clinical Data Review

    • Safety Review

  • Demonstrated leadership of global teams and enterprise transformation programs.