New York, NJ, USA
12 days ago
Manager - Decision Science (9820)
Position Summary

This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients

Job Responsibilities Leadership – Lead & guide the team independently or with little support to implement & deliver complex project assignments.   Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Must be able to guide team members in analysis.   Project & Process Management –   Get accurate briefs from the Client and translate into tasks for team members with priorities and timeline plans.   Must maintain high standards of quality and thoroughness. Should be able to monitor accuracy and quality of others' work.   Ability to think in advance about potential risks and mitigation plans.   Ideate, implement, adhere, and monitor quality processes essential for delivery excellence.   People Management   Provide leadership to help people perform at their best, through motivating and developing them to achieve high performance.   Provide structure, direction, and purpose to your team through effective communication/regular meetings   Provide clear guidance, instruction, advice or coaching for the job. Be accessible. Where appropriate, aim for inclusivity - enabling staff to input ideas, and consulting on change and development.   Use the performance management process as a valuable tool for supporting employee development and improvement.  Handle Client Relationship – Manage client relationships and client expectations independently. Should be able to deliver results back to the Client independently. Should have excellent communication skills.   Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery.  Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis  Ensure high-quality analytics solutions/reports to the client  Delivery role will include project scoping, solution design, execution and communication of the analysis in the client-ready format Effectively communicate with onshore/ client (as per business needs)  Education Bachelor of EngineeringWork Experience Overall 8-10 years of rich experience in the Pharmaceutical / Life Sciences Domain.   We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics.  Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills  Exhibit expertise on pharma real-world data like APLD, EMR, Prescription data, formulary data etc  Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, etc using various data sources  Strong communication, project management, and storyboarding skills  Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory.  Experience in Pharma commercial analytics experience will be preferred.  Behavioural Competencies Teamwork & LeadershipMotivation to Learn and GrowOwnershipCultural FitTalent ManagementTechnical Competencies Problem SolvingLifescience KnowledgeCommunicationProject ManagementBusiness developmentCapability Building / Thought LeadershipScale of Resources ManagedPatient Data Analytics
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