Senior Associate Medical Data Reviewer

Amgen; Hyderabad; On-site; INR 1,000,000 - 1,500,000; Full time

Job summary

Amgen in Hyderabad is seeking a Senior Associate - Medical Data Reviewer to ensure the quality and interpretability of clinical data. This role involves evaluating clinical trial data to guarantee its accuracy, consistency, and clinical relevance.

The ideal candidate will have a relevant medical degree or Master’s in Life Sciences with substantial clinical research experience. Strong analytical and communication skills are essential, enabling collaboration with various departments and driving continuous data quality improvements.

Qualifications

• MBBS, MD, PharmD, or equivalent with clinical research experience.
• Master’s degree with 5+ years or Bachelor's with 7+ years in clinical research.
• Understanding of GCP environments and clinical data review processes.

Responsibilities

• Conduct ongoing medical review of clinical trial data.
• Evaluate adverse events and key safety endpoints.
• Identify trends and emerging safety signals across studies.
• Provide medical input into study start-up activities.
• Contribute to medical review tools and dashboards.

Skills

Clinical research experience

Data analysis

Communication skills

Medical judgment

Education

MBBS, MD, PharmD, BDS, BAMS, BHMS or equivalent

Master’s in Life Sciences or related

Bachelor’s in Life Sciences or related

Tools

Spotfire

Power BI

Job description

Career Category

Clinical

Job Description

In this vital role, the Senior Associate - Medical Data Reviewer is responsible for ensuring the clinical integrity, quality, and interpretability of data generated across the clinical development lifecycle. The role applies strong medical and scientific judgment to complex clinical datasets to safeguard patient safety, enable timely signal detection, and support regulatory‑ready decision making.

The position requires both clinical expertise and analytical rigor, with the ability to distinguish clinically meaningful signals from background variability and drive appropriate actions when required.

• Conduct ongoing medical review of clinical trial data to ensure accuracy, consistency, and clinical relevance.
• Evaluate adverse events, laboratory data, vital signs, ECGs, imaging, and other key safety and efficacy endpoints.
• Identify trends, outliers, protocol deviations, and emerging safety signals across studies.
• Apply medical judgment to distinguish clinically meaningful findings from normal variability.
• Provide medical input into study start‑up activities, including risk assessments and data review strategy.
• Partner cross‑functionally with Clinical Operations, Data Management, Safety, Biostatistics, and vendors to resolve data issues.
• Contribute to the development and refinement of medical review tools, visualizations, and dashboards (e.g., Spotfire).
• Lead or contribute to data review meetings, governance discussions, and issue escalation processes.
• Author and maintain clear, defensible medical documentation to support inspection readiness.
• Drive continuous improvement by identifying systemic data quality trends and strengthening review standards and workflows.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The dynamic professional we seek is a leader with these qualifications.

Basic Qualifications

• MBBS, MD, PharmD, BDS, BAMS, BHMS, or other relevant medical/healthcare degree with clinical research experience
• OR
• Master’s degree in Life Sciences, Pharmacy, Public Health, or related field with 5+ years of clinical research experience
• OR
• Bachelor’s degree in Life Sciences, Pharmacy, Nursing, or related discipline with 7+ years of clinical research experience

Preferred Qualifications

• 5+ years of experience in clinical research within biotech, pharmaceutical, or CRO environments
• Experience reviewing large, complex clinical trial datasets
• Understanding of clinical data review processes and study conduct within GCP environments
• Experience with clinical data analysis or visualization tools (e.g., Spotfire, Power BI, or similar)
• Ability to interpret complex clinical datasets and translate findings into clear, actionable insights
• Strong written and verbal communication skills with experience presenting to cross‑functional and leadership audiences