PHARMAFull-time
Medical Data Reviewer
By Admin · Clinical Data Management
BANGALORE (IN)ONSITEPOSTED: 9/3/2026
PHARMAFull-time
HIRING ORGANIZATIONIQVIAHealthcare Technology & Contract Research
ROLE DEFINITION & RESPONSIBILITIES
Job Overview
Review structured clinical patient data without direct access to underlying medical charts.
Assess medical plausibility, protocol adherence, completeness and overall readiness of patient information for subsequent levels of medical review.
Identify potential inconsistencies, anomalies and missing information requiring further investigation with the clinical study site.
Ensure patient data is accurate, complete and appropriately documented according to clinical trial and protocol requirements.
Support the quality and reliability of clinical trial data through detailed medical review and cross-checking of multiple clinical data sources.
Patient Data Review & Medical Plausibility
Review structured patient data to determine whether reported information is medically plausible.
Identify anomalies in patient-reported data requiring further investigation.
Assess the overall accuracy and completeness of clinical patient information.
Evaluate whether supplied patient data is ready for the next level of review.
Review additional available information when necessary to determine overall patient-data readiness.
Verify consistency between different categories of patient information.
Investigation Product & Protocol Compliance
Review investigational product dosing records.
Assess adherence to protocol-defined dosing requirements.
Identify potentially inaccurate dosing information.
Identify possible missed doses.
Evaluate dosing records for potential protocol deviations requiring further investigation.
Adverse Event Review
Review all reported Adverse Events (AEs).
Ensure relevant supporting information is available for reported AEs.
Identify implausible or inconsistent AE information requiring verification.
Review relationships between AEs, patient medical history, laboratory findings and concomitant medications.
Identify potential safety conditions that may require further clarification.
Concomitant Medication Review
Review all reported concomitant medications.
Verify whether medications are permitted according to the clinical trial protocol.
Identify medications that may be disallowed by protocol.
Assess whether concomitant medications support an existing reported medical condition.
Assess whether medications are prescribed for a reported Adverse Event.
Review consistency between medication use and other patient clinical information.
Inclusion & Exclusion Criteria Review
Review all protocol-defined inclusion criteria.
Review all protocol-defined exclusion criteria.
Confirm that each patient meets the minimum eligibility requirements for participation in the clinical trial.
Identify potential eligibility concerns or inconsistencies requiring investigation.
End-of-Study Review
Review End-of-Study (EOS) information.
Verify that EOS information is documented correctly.
Determine whether the primary reason for a patient's discontinuation or completion of trial participation is accurately recorded.
Support completeness and accuracy of patient participation records.
Laboratory Data Review & Safety Assessment
Review laboratory results for completeness.
Assess whether laboratory data follows the protocol-defined schedule of events.
Identify missing or potentially incomplete laboratory information.
Evaluate whether laboratory values may indicate a potential safety condition.
Identify potential safety findings that may not have been reported in the patient's Adverse Event information.
Assess consistency between laboratory data, AEs, medical history and other patient information.
Medical History Review
Review patient-reported medical history for completeness.
Verify adherence to protocol expectations regarding medical-history documentation.
Assess the impact of medical-history information on other reported or observed patient information.
Review relationships between medical history, laboratory findings and Adverse Events.
Identify inconsistencies or missing information requiring clarification.
Data Listings & Cross-Patient Review
Review supplied Line Listings.
Assess data accuracy across patients within specified groups of data points.
Identify cross-patient inconsistencies and potential data anomalies.
Support data-quality review through detailed evaluation of patient-level and group-level clinical information.
Data Flow & Status Monitoring
Review clinical data status information.
Monitor data-flow reports.
Take appropriate actions based on identified data issues or operational findings.
Support timely progression of patient data through the medical-review process.
Team Collaboration & Project Participation
Serve as a Point of Contact (POC) or backup POC when required.
Interact with other medical-review staff to verify and clarify clinical information.
Collaborate with team members to triage newly identified data issues.
Follow up on previously identified action items.
Participate in Kick-Off meetings.
Attend weekly team meetings.
Attend client meetings when required or requested.
Establish and maintain effective working relationships with colleagues, managers and clients.
Project & Workload Management
Work across multiple clinical projects.
Manage competing priorities effectively.
Maintain focus on quality and accuracy while meeting project requirements.
Demonstrate strong customer focus.
Support effective communication and collaboration with internal teams and clients.
Qualifications
BDS or MDS qualification required.
Minimum of 2 years of relevant work experience required.
Understanding of clinical and medical data is required.
Medical & Scientific Knowledge
Strong understanding of medical terminology.
Knowledge of pharmacology.
Knowledge of human anatomy.
Knowledge of human physiology.
Ability to interpret and review clinical and medical information for plausibility and consistency.
Professional Competencies
Excellent motivational skills.
Strong influencing capabilities.
Coaching skills.
Ability to manage multiple projects.
Ability to manage competing priorities.
Strong customer-focus skills.
Strong collaboration and relationship-management abilities.
Ability to maintain effective relationships with coworkers, managers and clients.
Quality & Integrity Expectations
Ensure clinical information is reviewed accurately and objectively.
Support completeness and medical plausibility of patient data.
Follow protocol requirements during medical-data review.
Identify information requiring clarification or further investigation.
Maintain professional integrity throughout clinical review activities.
Applicants must provide truthful and complete information and credentials during the recruitment process.
False statements, misrepresentations or material omissions may result in disqualification or termination in accordance with applicable law.
REQUIRED VERIFIED SKILLS
Clinical Data Review
Medical Data Review
Clinical Trial Data
Medical Plausibility Assessment
Protocol Adherence
Patient Data Review
Investigational Product Dosing Review
Adverse Event Review
Concomitant Medication Review
Inclusion Criteria
Exclusion Criteria
End-of-Study Review
Laboratory Data Review
Safety Assessment
Medical History Review
Line Listings
Data Flow Reports
Clinical Data Quality
Medical Terminology
Pharmacology
Anatomy
Physiology
Clinical Research
Clinical Protocols
COMPENSATION & REWARDS
Salary: Competitive / Disclosed upon candidate shortlisting
Salary information is not disclosed in the official job posting provided. Compensation for this role may depend on the candidate's BDS or MDS qualification, relevant clinical-review experience, understanding of clinical trial data and experience managing complex medical information. Candidates should confirm the complete compensation structure during the recruitment process, including fixed salary, performance incentives, health insurance, retirement benefits, paid leave and other total-rewards benefits. Candidates with stronger experience in clinical research, medical terminology, adverse-event review and clinical data review may have a stronger profile for compensation discussions.
ORGANIZATION CONTEXT & CULTURE
IQVIA is a leading global provider of advanced analytics, technology solutions, and contract research services (CRO) to the life sciences industry. The company helps pharmaceutical, biotech, and medical device clients accelerate the development and commercialization of new medical treatments through its extensive data, technology, and human expertise. Their offerings span from clinical trial design and execution to real-world evidence and commercial effectiveness.
TEAM SIZE: 87,000+ employees
INDUSTRY: Healthcare Technology & Contract Research
EXPECTED CAREER ROADMAP
This Medical Data Reviewer role provides a strong foundation for career progression within clinical research, medical review and clinical data quality. With additional experience, professionals may advance toward Senior Medical Data Reviewer, Medical Review Lead, Clinical Data Manager, Clinical Quality Specialist or broader clinical operations and medical-monitoring roles. The position develops expertise in protocol interpretation, adverse-event assessment, patient eligibility, laboratory-data review, medication review and clinical-data plausibility. Exposure to multiple clinical studies, clients and cross-functional medical-review teams can also support progression into clinical data management, pharmacovigilance, clinical quality, medical monitoring support or healthcare analytics. Professionals who build strong therapeutic-area expertise, leadership capabilities and stakeholder-management skills may progress into team-lead or clinical project leadership positions.
APPLICATION ADVISORY
Tailor your resume to clearly demonstrate your BDS or MDS qualification and relevant experience reviewing clinical or medical information. Highlight your understanding of clinical trials, patient data, medical terminology, pharmacology, anatomy and physiology. If applicable, include experience reviewing Adverse Events, concomitant medications, laboratory values, medical history, patient eligibility or protocol compliance. Prepare for interviews by revising common clinical-trial terminology, AE concepts, inclusion and exclusion criteria, investigational product dosing and protocol schedules of events. Be ready to explain how you would identify medically implausible information, investigate inconsistencies between laboratory results and reported AEs, and prioritize multiple projects without compromising data quality. Emphasize attention to detail, scientific reasoning, customer focus and effective collaboration with clinical and medical-review teams.
RECOMMENDED TRAINING
1/5
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