Position: AI/ML and Predictive Analytics Expert – Pharma Commercial Analytics

Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application. We are seeking an accomplished professional with expertise in predictive analytics and AI/ML who specializes in pharma commercial analytics. This role involves establishing and leading a capability center in USA, working in close collaboration with offshore stakeholders to transition Advanced Analytics projects from the US to India. Key Responsibilities: Execute advanced secondary data analytics projects to address diverse business challenges, including HCP and patient analysis, market dynamics, customer journey insights, and managed markets analytics. Act as a bridge between stakeholders, understanding business requirements, conducting relevant analyses, and delivering actionable insights. Communicate effectively with stakeholders, ensuring complex analytics are translated into clear business strategies. Required Skills and Experience: Experience : Minimum of 8 years in Pharma Commercial Analytics. Specializations : Patient analytics leveraging claims and secondary market data. Brand performance analytics and reporting. Marketing analytics (preferred). Therapeutic Expertise : Oncology, Rare Diseases, or Specialty Brands (experience in at least one required). Data Proficiency : Familiarity with data sources such as APLD, Specialty Pharmacy, Hub Services, and Formulary. Extensive experience with pharmaceutical datasets like IQVIA (xPonent, PlanTrak, NPA, DDD, HCOS, Patient-Level data) or Symphony data. Technical Skills : Proficiency in Python, R, or SQL (Python preferred). Qualitative Attributes : Self-starter with the ability to work independently. Strong communication and presentation skills, with the ability to engage executive leadership. Prior experience with the Immunology market is preferred. This is a unique opportunity to lead transformative projects, drive data-driven decision-making, and contribute to the success of a global pharmaceutical analytics initiative.