Select how often (in days) to receive an alert: Department: Global R&D; Strategy, Portfolio and Digital Develop Business Area: R&D;, Pharmacovigilance & Regulatory Affairs

Job Type
Direct Employee Contract Type: Permanent

Location:
Parma, IT

About us
Chiesi 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. At 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. Chiesi Research & Development Our R&D; 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, R&D; 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). Who we are looking for This is what you will do The 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.



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. 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. You will be responsible for Data Science and AI Solutions for Clinical Development Design, 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. Apply statistical modelling, predictive analytics, AI, and data science methodologies to generate insights from diverse healthcare and clinical data sources. Transform complex clinical and operational data into actionable recommendations that support evidence-based decision‐making. Leverage clinical trial data, real‐world data, digital health data to improve the quality, efficiency, and effectiveness of clinical development activities. Evaluate emerging technologies, data sources,



and analytical methodologies that can enhance clinical research and patient outcomes. Contribute to the definition of data science best practices, standards, and analytical frameworks within the organization. Real World Data (RWD) and Real World Evidence (RWE) analytics. Synthetic control arms and virtual patient cohorts. Predictive analytics for trial performance assessment and monitoring. AI and Generative AI applications supporting clinical research, risk assessment and decision‐making. Strategic Collaboration and Stakeholder Engagement Partner closely with Global Clinical Development and Digital teams. Translate scientific, clinical, operational, and business challenges into robust analytical solutions. Facilitate the adoption and implementation of advanced analytics and AI solutions across clinical functions. Support strategic decisions through data‐driven insights and evidence generation. Act as a trusted advisor on data science, artificial intelligence, and advanced analytics opportunities within Clinical Development. Innovation and External Collaboration Monitor scientific and technological advancements in AI, machine learning, digital health, clinical data science, and related fields. Collaborate with academic institutions, technology providers, CROs, healthcare organizations, and industry consortia. Contribute to innovation initiatives aimed at transforming clinical development through data‐driven methodologies. Evaluate external technologies, platforms, and partnerships that can accelerate capability development. Participate in scientific publications, conference presentations, and external collaborations when appropriate. Foster a culture of innovation, continuous learning, and scie

📌 Freelance Senior Data Analyst (Italia)
🏢 Chiesi Farmaceutici
📍 Italia