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Tier-1 pharma brand and metro location increase competition, but niche clinical-trial risk analytics reduces applicant density.
Strong pharma clinical-trial, GCP and RBM domain requirements limit transferability across industries.
Explicit minimum years, RBM/GCP expertise, KRIs/Veeva experience and clinical-trial specificity make shortlisting highly strict.
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Lead risk assessment and data quality analytics for assigned clinical trial portfolio, focusing on study-level risk analysis and reporting.
Collaborate with clinical study teams to monitor compliance, patient safety, data quality, and reliability, escalating risks to governance committees.
Drive risk monitoring strategies including establishment of KRIs, QTLs, and data review plans, ensuring effective communication and management of emerging risks.
Bachelor's degree in Life Sciences, Analytics, Data Science, Statistics, Business, or related field.
Minimum 5 years pharmaceutical industry experience with at least 3 years in clinical trial operations and/or Good Clinical Practice.
Proven expertise in Risk-Based Monitoring principles and tools such as RACT, risk analytics platforms, and quality systems like Veeva.
Strong data analysis and visualization skills with ability to interpret and communicate data-driven insights.
Experienced in strategic risk oversight within clinical trial operations with ability to influence senior leadership and governance bodies.
Capable of integrating complex clinical and operational data to support comprehensive risk management and decision-making.
Skilled in leading cross-functional collaborations and advancing Risk-Based Management strategies in a regulated, data-intensive environment.