Global RD Strategy, Portfolio and Digital Develop /p pBusiness Area: RD, Pharmacovigilance Regulatory Affairs /p pJob Type: Direct Employee /p pContract Type: Permanent /p pLocation: Parma, IT /p pbAbout us /b /p pChiesi is an international research-focused biopharmaceutical group with 90 years’ experience, operating in more than 30 countries, with its Headquarter in Parma, Italy. This is what drives us as we research, develop, and market innovative drugs across our main therapeutic areas. p pAt Chiesi we are thinking generations ahead, driving sustainable innovation with purpose. As a Vantaggi Corporation and a certified B Corp, we have embedded sustainability in our bylaws and continuously measure our impact. /We believe our differences make us stronger. p pbChiesi Research Development /b /p pOur RD team represents a fundamental asset for the business. It is divided into integrated functional areas focusing on pipeline projects including discovery and preclinical research, global technical development, drug delivery technology, clinical development, regulatory affairs, pharmacovigilance, intellectual property, quality assurance, RD project and portfolio management. Headquartered in the new purpose-built and fully integrated Research and Development Centre in Parma (Italy), the team also has important operations in Paris (France), Chippenham (UK), Cary (US), Stockholm (Sweden), Toronto (Canada) and Shanghai (China). /p pbWho we are looking for /b /p h3bThis is what you will do /b /h3 pThe Data Scientist is responsible for designing, developing, and deploying advanced Data Science, Artificial Intelligence (AI), Machine Learning (ML),



and Generative AI solutions to support Clinical Development across the drug development lifecycle.br/The role combines strong expertise in data science with a solid understanding of clinical research and drug development. Working with clinical trial data, real-world data, digital health technologies, Data Scientist will generate actionable insights that improve decision-making, increase operational efficiency, accelerate evidence generation, and enhance patient-centric approaches to clinical research.br/As part of a multidisciplinary environment, the individual will collaborate closely with Global Clinical Development teams, and Digital teams to identify opportunities where data science can create measurable impact throughout the clinical development continuum. /p h3bYou will be responsible for /b /h3 pbData Science and AI Solutions for Clinical Development /b /p ul liDesign, develop, validate, and deploy advanced analytics, machine learning, artificial intelligence, and Generative AI solutions addressing scientific, clinical, and operational challenges across Clinical Development and Clinical Operations. /li liApply statistical modelling, predictive analytics, AI, and data science methodologies to generate insights from diverse healthcare and clinical data sources. /li liTransform complex clinical and operational data into actionable recommendations that support evidence-based decision‑making. /li liLeverage clinical trial data, real‑world data, digital health data to improve the quality, efficiency, and effectiveness of clinical development activities. /li liEvaluate emerging technologies,



data sources, and analytical methodologies that can enhance clinical research and patient outcomes. /li liContribute to the definition of data science best practices, standards, and analytical frameworks within the organization. /li /ul bExamples of potential application areas include: /b ul liClinical trial design and protocol optimization. /li liReal World Data (RWD) and Real World Evidence (RWE) analytics. /li liSynthetic control arms and virtual patient cohorts. /li liPredictive analytics for trial performance assessment and monitoring. /li liAI and Generative AI applications supporting clinical research, risk assessment and decision‑making. /li /ul bStrategic Collaboration and Stakeholder Engagement /b ul liPartner closely with Global Clinical Development and Digital teams. /li liTranslate scientific, clinical, operational, and business challenges into robust analytical solutions. /li liFacilitate the adoption and implementation of advanced analytics and AI solutions across clinical functions. /li liSupport strategic decisions through data‑driven insights and evidence generation. /li liAct as a trusted advisor on data science, artificial intelligence, and advanced analytics opportunities within Clinical Development. /li /ul bInnovation and External Collaboration /b ul liMonitor scientific and technological advancements in AI, machine learning, digital health, clinical data science, and related fields. /li liCollaborate with academic institutions, technology providers, CROs, healthcare organizations, and industry consortia. /li liContribute to innovation initiatives aimed at transforming clinical development through data‑driven methodologies. /li liEvaluate external technologies, platfor

📌 Data Science Data Science Senior Data Scientist (Italia)
🏢 Chiesi Farmaceutici
📍 Italia