Job Description
At our company we are leveraging analytics and technology, as we invent for life on behalf of patients around the world. We are seeking those who have a passion for using data, analytics, and insights to drive decision making, that will allow us to tackle some of the world’s greatest health threats.
Within our commercial Insights, Analytics, and Data organization we are transforming to better power decision-making across our end-to-end commercialization process, from business development to late lifecycle management. As we endeavor, we are seeking a dynamic talent to serve in the role of Specialist - Data Science.
This role involves working with our partners in different Business Units (Oncology and Pharma, Specialty & Infectious Diseases) and Domain areas (HCP/Account Analytics, Patient Analytics, Segmentation & targeting, Market Access, etc.) across products in different life cycles to help create scalable and production-grade analytics solutions, ranging from data visualization & reporting to advanced classical ML models and GenAI based agents/agentic capabilities.
You will work in the Customer Knowledge and Measurement Analytics function – supporting Oncology BU, where you will play a pivotal role in leveraging your traditional ML and GenAI expertise to address critical business challenges and derive insights to drive key decisions. Working alongside experienced Data Scientists and Business Analysts, you will have the opportunity to collaborate in translating business queries into analytical problems, employing your critical thinking, problem-solving, statistical, machine learning, and data visualization skills to deliver impactful solutions.
We are seeking candidates with prior experience in the healthcare analytics or consulting sectors, prior hands-on experience in Data Science (building end-to-end ML models). It is preferred that you have a valuable understanding of Physician and Patient-level data (PLD) from leading vendors such as IQVIA, Komodo
📌 Specialist, Data Science (Pune)
🏢 Msd
📍 Pune