Senior Data Scientist
Pubblicato il 29-10-2026 - Chiesi Group in Italia
pChiesi is an international research-focused biopharmaceutical group with 90 years’ experience, operating in more than 30 countries, with its Headquarter in Parma, Italy. More than 8,000 employees across the group are united by a singular purpose: promoting a healthier world for our people, patients, and the planet. This is what drives us as we research, develop, and market innovative drugs across our main therapeutic areas. Discover more here. /ppAt Chiesi we are thinking generations ahead, driving sustainable innovation with purpose. This fosters a culture of reliability, transparency, and ethical behaviour at every level. As a Vantaggi Corporation and a certified B Corp, we have embedded sustainability in our bylaws and continuously measure our impact. /ppDiversity and inclusion are at the heart of who we are. We believe our differences make us stronger. We are a vibrant ecosystem of passionate, talented individuals united by strong values, each bringing unique perspectives that help us to continuously challenge the status quo for the better. /ph3Chiesi Research Development /h3pOur 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). /ph3This is what you will do /h3pThe 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. /ppThe 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. /ppAs 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. /ph3You will be responsible for /h3h3Data Science and AI Solutions for Clinical Development /h3ulliDesign, 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. /liliApply statistical modelling, predictive analytics, AI, and data science methodologies to generate insights from diverse healthcare and clinical data sources.
/liliTransform complex clinical and operational data into actionable recommendations that support evidence-based decision-making. /liliLeverage clinical trial data, real-world data, digital health data to improve the quality, efficiency, and effectiveness of clinical development activities. /liliEvaluate emerging technologies, data sources, and analytical methodologies that can enhance clinical research and patient outcomes. /liliEnsure developed solutions are scientifically robust, reproducible, scalable, and compliant with regulatory, privacy, and governance requirements. /liliContribute to the definition of data science best practices, standards, and analytical frameworks within the organization. /li /ulh3Examples of potential application areas include: /h3ulliClinical trial design and protocol optimization. /liliReal World Data (RWD) and Real World Evidence (RWE) analytics. /liliSynthetic control arms and virtual patient cohorts. /liliPredictive analytics for trial performance assessment and monitoring. /liliRisk identification and study performance forecast. /liliDevelopment and validation of digital biomarkers. /liliAI and Generative AI applications supporting clinical research, risk assessment and decision-making. /li /ulh3Strategic Collaboration and Stakeholder Engagement /h3ulliPartner closely with Global Clinical Development and Digital teams. /liliTranslate scientific, clinical, operational, and business challenges into robust analytical solutions. /liliFacilitate the adoption and implementation of advanced analytics and AI solutions across clinical functions. /liliPresent complex analytical findings clearly and effectively to both technical and non-technical stakeholders. /liliSupport strategic decisions through data-driven insights and evidence generation. /li