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Manager Analytics

Keywords / Skills : Analysis, EMR, EHR, RWD, TABLEAU

7 - 12 years
Posted: 2019-04-03

Job Description
Job Description :

 Work with RWD datasets; analyze observational data (Claims, EHR / EMR, Survey) and registry datasets

 Design and conduct patient-data analyses utilizing RWD datasets

 Responsible for executing ad-hoc analyses, deep dives, statistical analyses to generate and report real-world evidence about disease, adherence, patient journeys, health service utilization and the effects of pharma products

 Design custom analyses using tools like SQL, R, Excel, Tableau, SAS, R

 Work independently to lead statistical aspects of projects with quality reviews by RWE analytics lead

 Guide the team in processing data, developing custom analysis tools, analyzing results and creating high-quality deliverables

 Lead end-to-end projects, working directly with the client, engagement leads and senior stakeholders within the organization

 Take initiative to advance problem-solving skills and Indegene capabilities

 Teach, mentor and coach junior team members

Qualifications :

 BTech / MTech / BS / MS Statistics / Public Health / Bioinformatics / / Life Sciences and / or MBA

 Strong record of academic achievement

 8+ years of overall experience with 5+ years of relevant experience

Desired Profile :

 Experience in patient-data analytics, specifically in analyzing real world/observational data and patient registries

 Professional services/ multi-national experience/exposure to pharmaceutical sector a plus

 Experience in the design and analysis of prospective or retrospective studies and familiar with working with large RWD datasets (Optum, Truven, Flatiron, Premier etc.) focusing on anonymized patient level data

 Good understanding of basic study designs (e.g., cross sectional, parallel group)

 Data modeling experience in R/Python etc.

 Experience in Tableau a plus

 Knowledge of statistics, machine learning, predictive modeling and clinical trial data design/analysis would be a plus

 Experience of observational data and/or registries is essential

 Experience in Project managing and client facing interactions is a plus

 In-depth knowledge of multivariable models and survival analyses; longitudinal analyses methods, a plus

 Good understanding of the clinical trial process and late phase/observational studies (e.g., Phase IV, registries, retrospective chart review, time and motion studies), Experience with Time and Motion studies a plus

 Excellent project management skills: can prioritize multiple tasks and goals to ensure timely completion



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