
AI/ML Lead for Pharmaceutical Analytics
3 days ago
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.
The ideal candidate will 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. They will act as a bridge between stakeholders, understanding business requirements, conducting relevant analyses, and delivering actionable insights.
Key Responsibilities:
- Execute advanced secondary data analytics projects to address diverse business challenges.
- 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 Qualifications:
- Minimum of 8 years in Pharma Commercial Analytics.
- 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 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).
Benefits:
- 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.
- Self-starter with the ability to work independently.
- Strong communication and presentation skills, with the ability to engage executive leadership.
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