Associate Director Data Science
9 hours ago
Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise. We enable commercial excellence delivering analytical guidance to the field through SalesOps™, our cloud-based sales planning and operations platform.
We have more than 220 employees worldwide, are growing rapidly, and are proud to count a number of the top 10 global Life Sciences companies as our customers. Position: AI/ML and Predictive Analytics Expert – Pharma Commercial Analytics
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 India, working in close collaboration with onsite stakeholders to transition Advanced Analytics projects from the US to India.
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.
Required Skills and Experience:
Experience : Minimum of 8 years in Pharma Commercial Analytics.
Patient analytics leveraging claims and secondary market data.
Brand performance analytics and reporting.
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.
Proficiency in Python, R, or SQL (Python preferred).
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.
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