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Senior Consultant, Clinical Trial Analytics

2 months ago

Bangalore City, India IQVIA Full time
Job Role: Senior Consultant, Clinical Trial Analytics Work Experience: 7 to 13 YearsWork location: BengaluruWork Mode: HybridMust Have Skills: Patient Analytics, APLD, Patient Level Data/Payer Analytics/Commercial Analytics/Real World Data/IQVIA Data, PySpark, SQLJob OverviewTo make clinical development more efficient by using analytics and domain/clinical knowledge to identify the optimal set of clinical trial sites and investigators leveraging IQVIA’s datasets.The incumbent will manage multiple R&D analytics projects and a team of Analysts to deliver high quality analytics and strategic insight to support data-driven decision making to accelerate clinical trials The candidate’s analytical, inter-personal, creative thinking, business management and leadership skills will be called upon from day one.Principal Accountabilities:Proactively communicate with the business interface;

understand the businesscontext, project requirements and specific challengesWork with the team on a detailed project plan, use consultative approach in managing individual and team’s assigned projects, develop data-driven project outlines with country analysts to support project requirementsStrong analytic and collaboration skills to drive methodology homogenization and automation effort across multiple initiatives and offerings within the teamAct as a SME to manage and mentor a team of Analyst with examples across the areas of business supported by CTA&SI teamBring all communications together, schedule interim deliverable checkpoints and raise flags for challengesContribute as IQVIA data expert;

develop best practices to predict/ identify an eligible patient pool for the indications of interestThink beyond the obvious and apply logic to data-driven mechanisms for effective strategy making and helping the R&D businessDraw recommendations to improve productivity, and quality by detecting inadequacies and taking corrective actionsIdentify and explore public/ proprietary databases within the clinical/ real world community across geographies and develop proof-of concept frameworksDevelop client/ stakeholder relationships and serve as key point of contact on multiple projectsEnthusiastically drive (or provide support to) broader initiatives with the global colleaguesEssential Experience7-10 years of experience in data analytics or research (preferably healthcare/clinical) and consulting with a minimum 5 years of relevant experience leveraging healthcare real-world data assets to answer pharma business questions such as Clinical Patient Journey, Patient Analytics, Segmentation and Targeting, Clinical Trial Analytics, and Advanced AnalyticsMust have worked with real-world and/or IQVIA data assets (e.G., claims, EHR/EMR, Citeline, patient registries) and general subject knowledge of other healthcare datasets is a plusGood understanding of the pharmaceutical and healthcare market in different countries, exposure to clinical development business is preferredExperience of working with global teams based across multiple geographiesMust have prior experience in people and project managementTechnical Skills:Excellent data analysis skills to explore and QC new data assets, develop prototypes codes and methodologies to support existing and new use casesMust have hands-on experience in SQL and Python (e.G., PySpark, Pandas, NumPy) programing languages supporting big data analysis and advanced analytics use casesExperience and knowledge of developing complex data models using Machine & Deep learning algorithm (preferred but not must-to-have)Experience & knowledge of visualization tools such as Power BI, Tableau, QlikView (preferred but not must-to-have)Expertise in MS Office – Excel, Word, PowerPointExpertise in handling multiple tasks and an efficient project management is a mustEducational Qualification:Master’s degree in pharmaceutical / life-sciences/ biostatistics/ biochemistry/ biotechnology;

or bachelor’s degree ininformation technology, computer sciences, or equivalent