Data Science
Pubblicato il 22-08-2026 - Merck Healthcare in Roma
Work Your Magic with us
Ready to explore, break barriers, and discover more? We know you've got big plans - so do we Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.
United As One for Patients, our purpose in Healthcare is to help create, improve and prolong lives. We develop medicines, intelligent devices and innovative technologies in therapeutic areas such as Oncology, Neurology and Fertility. Our teams work together across 6 continents with passion and relentless curiosity in order to help patients at every stage of life. Joining our Healthcare team is becoming part of a diverse, inclusive and flexible working culture, presenting great opportunities for personal development and career advancement across the globe.
Your Role
As a Data Science & Business Analyst Expert, you combine advanced data science, statistical modeling, and business analytics to generate actionable insights that accelerate development, optimize commercial strategies and support key business decisions. Operating within Commercial Excellence, you turn complex datasets into actionable insights through exploratory data analysis, predictive modeling, and machine learning algorithms. You will design, build, and maintain interactive dashboards to communicate key performance indicators across functions, including Market Access, Medical Affairs, and IT. By leading data management and evaluating emerging AI and analytics tools, your efforts directly streamline operations and deliver a competitive edge in the pharmaceutical market.
Who You Are
Master's degree in Data Science, Statistics, Biostatistics, Computer Science, or related field.
5+ years of experience in data