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Engagement Manager - Pharma (6-14 yrs)
- Domain expertise in Pharma Industry or in Life Sciences / Us healthcare (Best Preferred would be Pharma) worked on Analytics consulting as a mandate .
- Experience with cross therapeutically areas studies to meet Value Evidence and Real-world Evidence analytics needs
- Build machine learning and/or statistic models in Life sciences use cases such as predicting disease or treatment outcomes
- Develop thorough understanding of the Real-World Data (such as patient claims data, EMR, consumer data) and their use cases in pharmaceutical/health care research
- Knowledge of different retrospective RWD (Real World Data) databases such as Truven, Optum, Symphony etc.
- Experience in bio-statistical techniques such as - Survival analysis.
- Hands on Experience in analysing and visualizing data using tools such as Tableau, PowerBI, Qlikview
- Excellent presentation and communication skills
- 5-8 years of relevant experience.
- MBA from reputed institute preferred.
- Designation will be commensurate with expertise/experience. Compensation packages among the best in the industry you will work on some of the latest applications of AI to solve complex business problems, and demonstrate significant business value to one or more clients. In doing so, you will closely collaborate with a team of consultants, data scientists and data engineers. You will lead the project team to design and deliver impactful solutions, drive adoption, and articulate value. On a typical work day, you could be doing one or more of the following:
- Participate in client workshops to identify high impact problems that could be solved through AI based solutions
- Translate business problems (sometimes ambiguous) into clear analytic problem statements.
- Design a plan to develop and deploy advanced analytics solutions in collaboration with SMEs in Data Science & Engineering.
- Own & drive execution of the plan by demonstrating techno-functional consulting & stakeholder management capabilities.
- Measure and articulate how analytic results improve clients' business & financial metrics.
- Perform a role that involves a combination of hands-on contribution, customer engagement and team management.
- Contribute to organization building through training, mentoring and developing repeatable analytic approaches
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