Manager - Patient Analytics

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

- Ability to establish and maintain effective working relationships with co-workers, managers and clients

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