Central Monitor II – Risk-Based Monitoring (RBM) & Clinical Data Analytics | Remote
Location: India (Remote)
Company: Syneos Health
Employment Type: Full-Time
Job Overview
Syneos Health is seeking a skilled Central Monitor II to support Risk-Based Quality Management (RBQM) and centralized monitoring activities across global clinical trials. This role focuses on leveraging data analytics to identify risks, ensure data quality, and enhance study performance from study start-up through database lock. The ideal candidate will collaborate with cross-functional teams to proactively manage risks and ensure compliance with clinical monitoring plans and regulatory standards.
Key Responsibilities
Centralized Monitoring & Risk Management
Perform centralized monitoring of clinical trial data in alignment with study monitoring plans
Identify data trends, inconsistencies, and potential risks at study, country, and site levels
Proactively escalate risks and recommend corrective and preventive actions
Maintain oversight of risk indicators and key performance metrics
RBQM & Data Analytics Expertise
Act as a subject matter expert in Risk-Based Monitoring (RBM) and data analytics tools
Conduct data risk reviews and manage risk and issue tracking within analytical platforms
Support implementation and consistent application of RBQM principles across studies
Study Setup & Tool Management
Assist in the setup, configuration, and maintenance of centralized monitoring tools
Ensure proper documentation, archiving, and traceability of data reviews and risk assessments
Cross-Functional Collaboration
Work closely with Central Monitoring Leads, Clinical Operations, and Data Management teams
Communicate findings, trends, and insights to study teams with actionable recommendations
Provide regular status updates and reports to stakeholders
Training & Process Support
Support training of study teams on RBQM and centralized monitoring processes
Contribute to process improvements and best practices in data monitoring and analytics
Compliance & Quality Assurance
Ensure adherence to regulatory guidelines, SOPs, and quality standards
Maintain high standards of data integrity and audit readiness throughout the study lifecycle
Required Qualifications
Bachelor’s or Master’s degree in Life Sciences, Pharmacy, Statistics, or a related field
Strong understanding of clinical trial processes and data management principles
Knowledge of Risk-Based Monitoring (RBM) and centralized monitoring methodologies
Familiarity with data analytics tools used in clinical trials
Experience Required
Typically 2–5 years of experience in clinical research, centralized monitoring, or data analytics roles
Hands-on experience with RBQM frameworks and centralized monitoring tools is preferred
Experience working in CRO, pharmaceutical, or biotech environments
Key Skills
Risk-Based Monitoring (RBM) & RBQM
Centralized Monitoring & Data Review
Clinical Data Analytics & Trend Analysis
Risk Identification & Issue Management
Clinical Trial Compliance & GCP
Communication & Stakeholder Management
Problem-Solving & Analytical Thinking
Why Join Syneos Health?
Work with a globally recognized biopharmaceutical solutions organization
Opportunity to contribute to innovative, patient-centric clinical development models
Exposure to advanced data analytics and RBM methodologies
Inclusive, diverse, and collaborative work environment
Strong focus on career development, training, and employee wellbeing
About Syneos Health
Syneos Health is a leading fully integrated biopharmaceutical solutions organization, combining clinical, medical affairs, and commercial expertise to accelerate the delivery of therapies worldwide. With a global presence across 100+ countries, the company is committed to improving patient outcomes and driving innovation in clinical development.
How to Apply
Although this position is currently inactive, interested candidates can explore similar roles through Syneos Health’s careers portal or submit their resume via ThePharmaDaily.com to stay updated on upcoming opportunities in centralized monitoring and clinical data analytics.
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