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 Agevolazioni 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. /liliAct as a trusted advisor on data science, artificial intelligence, and advanced analytics opportunities within Clinical Development. /li /ulh3Innovation and External Collaboration /h3ulliMonitor scientific and technological advancements in AI, machine learning, digital health, clinical data science, and related fields. /liliCollaborate with academic institutions, technology providers, CROs, healthcare organizations, and industry consortia. /liliContribute to innovation initiatives aimed at transforming clinical development through data-driven methodologies. /liliEvaluate external technologies, platforms, and partnerships that can accelerate capability development. /liliParticipate in scientific publications, conference presentations, and external collaborations when appropriate. /liliFoster a culture of innovation, continuous learning, and scientific excellence. /li /ulh3You will need to have /h3h3Technical Skills /h3ulliStrong knowledge of machine learning, artificial intelligence, predictive analytics, and statistical modelling techniques. /liliProficiency in programming languages commonly used in data science (e.g., Python, R). /liliExperience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch). /liliExperience developing and deploying machine learning models in production environments. /liliKnowledge of Generative AI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and emerging AI frameworks. /liliExperience with healthcare, clinical, and real-world data sources. /liliStrong data visualization, communication, and storytelling capabilities. /liliUnderstanding of software development best practices, version control, and reproducible analytical workflows. /li /ulh3Domain Knowledge /h3h3Required /h3ulliDemonstrated experience in Clinical Development, Clinical Research, Real World Evidence or related healthcare research environments.



/liliStrong understanding of the clinical trial lifecycle, including study design, site activation, patient recruitment, study conduct, analysis, and evidence generation. /liliExperience in applying advanced analytics, AI, or machine learning techniques to clinical or healthcare datasets. /li /ulh3Qualifications /h3ulliMaster's Degree or PhD in Data Science, Statistics, Physics, Computer Science, Mathematics or a related discipline. /liliProven experience as a Data Scientist or equivalent role within the pharmaceutical, biotechnology, CRO, healthcare technology, or life sciences sectors. /liliDemonstrated experience supporting Clinical Development, Clinical Operations, Real World Evidence, or related clinical research activities. /liliExperience working with clinical trial data and healthcare datasets. /liliProven ability to translate complex scientific and operational challenges into impactful analytical solutions. /li /ulh3The ideal candidate /h3pThe ideal candidate combines strong data science and AI expertise with practical experience in clinical development and clinical research. They are passionate about applying innovative analytical approaches to improve how clinical studies are designed, executed, monitored, and interpreted. /ppThey are comfortable working across multidisciplinary teams, capable of bridging scientific and technical domains, and motivated to leverage AI, machine learning, real-world evidence, and digital health technologies to accelerate drug development and improve patient outcomes. /ph3Location /h3pThe position is based in our Paolo Chiesi RD Campus, Parma, Italy, with a flexible hybrid working model. /ph3Budgeted salary range /h3pThe budgeted salary range approved for this role is between €46.000 and €57.500. This range reflects the typical compensation expected for candidates with the experience and expertise required for the position. /ppFinal offer may vary based on the selected candidate's skills, experience, qualifications, overall profile, and internal equity considerations. /ppThis role is eligible to participate in an annual bonus scheme, subject to company and individual performance. /ppIn addition, we offer a comprehensive benefits package including pension, private medical insurance, wellbeing programme, flexible benefits programme and more. /ph3What we offer /h3pNo matter where your path starts at Chiesi, it leads to inspiring possibilities. Your future is our focus, and we are committed to nurturing your development in our dynamic, friendly environment with access to resources and training every step of the way. /ppWe provide top‑class benefits, including comprehensive healthcare programs, work‑life balance initiatives, and robust relocation support. Our salary package is competitive, comprising a basic salary, performance bonuses, and benefits benchmarked against the external market. Additionally, we offer flexible working arrangements, remote work options, and tax assistance services for foreign colleagues, all designed to help you thrive. /ppChiesi is an equal opportunity employer committed to hiring a diverse workforce at all levels of our business. All qualified applicants receive consideration for employment based on attitude and merit, without regard to race, national origin, age, sex, religion, disability, sexual orientation, marital status, military status, gender identity or expression, or any other basis protected by applicable laws. This policy applies to all aspects of employment, including hiring, transfer, promotion, compensation, eligibility for benefits, and termination. /p #J-18808-Ljbffr

📌 Senior Data Scientist (Parma)
🏢 Chiesi Group
📍 Parma