{"id":3106620,"url":"https://alion.io/job/chiesi-senior-data-scientist","title":"Senior Data Scientist","company":{"id":1798160,"name":"Chiesi","domain":"chiesi.com","url":"https://alion.io/company/chiesi-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Parma, Italy"],"countries":["IT"],"hiring_countries":["IT"],"hiring_countries_total":1,"salary":{"min":46000,"max":57500,"currency":"EUR","period":"year","gross":null,"usd_annual":64496},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-22T19:27:59Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T00:32:28Z","board_verified":false,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"About us\nChiesi 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.\nAt 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 Benefit Corporation and a certified B Corp, we have embedded sustainability in our bylaws and continuously measure our impact.\nDiversity 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.\nChiesi Research & Development\nOur 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).\nWho we are looking for\n This is what you will do\nThe 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.\nThe 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.\nAs 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.\nYou will be responsible for\nData Science and AI Solutions for Clinical Development\nDesign, 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.\nApply statistical modelling, predictive analytics, AI, and data science methodologies to generate insights from diverse healthcare and clinical data sources.\nTransform complex clinical and operational data into actionable recommendations that support evidence-based decision-making.\nLeverage clinical trial data, real-world data, digital health data to improve the quality, efficiency, and effectiveness of clinical development activities.\nEvaluate emerging technologies, data sources, and analytical methodologies that can enhance clinical research and patient outcomes.\nEnsure developed solutions are scientifically robust, reproducible, scalable, and compliant with regulatory, privacy, and governance requirements.\nContribute to the definition of data science best practices, standards, and analytical frameworks within the organization.\nExamples of potential application areas include:\nClinical trial design and protocol optimization.\nReal World Data (RWD) and Real World Evidence (RWE) analytics.\nSynthetic control arms and virtual patient cohorts.\nPredictive analytics for trial performance assessment and monitoring.\nRisk identification and study performance forecast.\nDevelopment and validation of digital biomarkers.\nAI and Generative AI applications supporting clinical research, risk assessment and decision-making.\nStrategic Collaboration and Stakeholder Engagement\nPartner closely with Global Clinical Development and Digital teams.\nTranslate scientific, clinical, operational, and business challenges into robust analytical solutions.\nFacilitate the adoption and implementation of advanced analytics and AI solutions across clinical functions.\nPresent complex analytical findings clearly and effectively to both technical and non-technical stakeholders.\nSupport strategic decisions through data-driven insights and evidence generation.\nAct as a trusted advisor on data science, artificial intelligence, and advanced analytics opportunities within Clinical Development.\nInnovation and External Collaboration\nMonitor scientific and technological advancements in AI, machine learning, digital health, clinical data science, and related fields.\nCollaborate with academic institutions, technology providers, CROs, healthcare organizations, and industry consortia.\nContribute to innovation initiatives aimed at transforming clinical development through data-driven methodologies.\nEvaluate external technologies, platforms, and partnerships that can accelerate capability development.\nParticipate in scientific publications, conference presentations, and external collaborations when appropriate.\nFoster a culture of innovation, continuous learning, and scientific excellence.\nYou will need to have\nTechnical Skills\nStrong knowledge of machine learning, artificial intelligence, predictive analytics, and statistical modelling techniques.\nProficiency in programming languages commonly used in data science (e.g., Python, R).\nExperience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow, PyTorch).\nExperience developing and deploying machine learning models in production environments.\nKnowledge of Generative AI technologies, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and emerging AI frameworks.\nExperience with healthcare, clinical, and real-world data sources.\nStrong data visualization, communication, and storytelling capabilities.\nUnderstanding of software development best practices, version control, and reproducible analytical workflows.\nDomain Knowledge\nRequired\nDemonstrated experience in Clinical Development, Clinical Research, Real World Evidence or related healthcare research environments.\nStrong understanding of the clinical trial lifecycle, including study design, site activation, patient recruitment, study conduct, analysis, and evidence generation.\nExperience in applying advanced analytics, AI, or machine learning techniques to clinical or healthcare datasets.\nQualifications\nMaster's Degree or PhD in Data Science, Statistics, Physics, Computer Science, Mathematics or a related discipline.\nProven experience as a Data Scientist or equivalent role within the pharmaceutical, biotechnology, CRO, healthcare technology, or life sciences sectors.\nDemonstrated experience supporting Clinical Development, Clinical Operations, Real World Evidence, or related clinical research activities.\nExperience working with clinical trial data and healthcare datasets.\nProven ability to translate complex scientific and operational challenges into impactful analytical solutions.\nThe ideal candidate\nThe 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.\nThey 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.\nLocation\nThe position is based in our Paolo Chiesi R&D Campus, Parma, Italy, with a flexible hybrid working model.\nBudgeted salary range\nThe 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.\nFinal offer may vary based on the selected candidate's skills, experience, qualifications, overall profile, and internal equity considerations.\nThis role is eligible to participate in an annual bonus scheme, subject to company and individual performance.\nIn addition, we offer a comprehensive benefits package including pension, private medical insurance, wellbeing programme, flexible benefits programme and more.\nWhat we offer\nNo 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.\nWe 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.\nChiesi 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. 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