Pharma Analytics

Responsibilities 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 the Pharma domain. Lead project teams consisting of consultants, analysts, data scientists, ML engineers etc. Closely engage with client stakeholders and onsite teams; participate in client workshops to identify high impact business problems that could be solved through AI based solutions. Translate those business problems (sometimes ambiguous) into clear analytic problem statements. Domain expertise in Pharma Industry or in Life Sciences worked on Analytics consulting as a mandate. Experience working on Analytics use cases: MMX, NBX, DT, Patient Segmentation, Payer Segmentation, Patient Journey analytics and similar use cases on the commercial side. Good understanding of databases such as APLD, Truven, Optum, Symphony etc. Minimum 6 years of relevant work experience in delivering advanced analytics. Preferred candidate profile Immediate to 15 days joiner with relevant domain experience in Pharma/Life science. Level of Hire - Senior Consultant/Engagement Manager, depending on the experience and interview feedback, could vary Analytics/DS/ML experience is preferred. Salary - 22 L to 37 LPA (Based on interview performance and level recommendation) Responsibilities 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 the Pharma domain. Lead project teams consisting of consultants, analysts, data scientists, ML engineers etc. Closely engage with client stakeholders and onsite teams; participate in client workshops to identify high impact business problems that could be solved through AI based solutions. Translate those business problems (sometimes ambiguous) into clear analytic problem statements. Domain expertise in Pharma Industry or in Life Sciences worked on Analytics consulting as a mandate. Experience working on Analytics use cases: MMX, NBX, DT, Patient Segmentation, Payer Segmentation, Patient Journey analytics and similar use cases on the commercial side. Good understanding of databases such as APLD, Truven, Optum, Symphony etc. Minimum 6 years of relevant work experience in delivering advanced analytics. Preferred candidate profile Immediate to 15 days joiner with relevant domain experience in Pharma/Life science. Level of Hire - Senior Consultant/Engagement Manager, depending on the experience and interview feedback, could vary Analytics/DS/ML experience is preferred. Salary - 22 L to 37 LPA (Based on interview performance and level recommendation)