Data Science Manager
Pubblicato il 27-10-2026 - Chiesi in Parma
Overview In this role you will design, develop, and deploy advanced data science and AI solutions to support Clinical Development across the drug development lifecycle. You will work with clinical trial and real-world data to uncover actionable insights that enhance decision-making, efficiency, and patient-centricity. Collaborating with Global Clinical Development and Digital teams, you translate complex problems into robust analytics that drive evidence generation and improvements to study design and execution. This is an opportunity to shape how data science accelerates drug development at Chiesi. Retribuzione / Benefits pension private medical insurance flexible benefits programme relocation support remote work options Design, develop, validate, and deploy analytics, ML/AI, and Generative AI solutions for Clinical Development and Operations Apply statistical modelling and predictive analytics to diverse healthcare data sources Translate data into actionable recommendations for evidence-based decision-making Leverage clinical trial, real-world,
and digital health data to improve quality and efficiency Evaluate new technologies and data sources to enhance clinical research and patient outcomes Contribute to data science best practices and analytical frameworks Collaborate with Global Clinical Development and Digital teams to identify opportunities Support data-driven strategic decisions and act as an AI/data science advisor in Clinical Development Foster innovation and collaboration with external partners to accelerate capability development Participate in scientific communications and external collaborations when appropriate Strong knowledge of ML/AI, predictive analytics, and statistical modelling Proficiency in Python and/or R Experience with pandas, NumPy, scikit-learn, TensorFlow, PyTorch Experience deploying ML models in production Knowledge of Generative AI, LLMs, RAG, and emerging AI frameworks Experience with healthcare, clinical, and real-world data Strong data visualization, storytelling, and communication skills Understanding of software development practices, version control, and reproducible workflows Demonstrated experience in Clinical Development, Clinical Research or Real World Evidence environments Experience translating complex challenges into impactful analytical solutions Master's or PhD in relevant field; experience in pharma/biotech/Life sciences Cross-functional collaboration Machine learning and AI Statistical modelling