Senior Data Scientist

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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. 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.

At 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.

Diversity 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.

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.
- Ensure developed solutions are scientifically robust, reproducible, scalable, and compliant with regulatory, privacy, and governance requirements.
- Contribute to the definition of data science best practices, standards, and analytical frameworks within the organization.

Examples of potential application areas include:

- Clinical trial design and protocol optimization.
- 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.
- Risk identification and study performance forecast.
- Development and validation of digital biomarkers.
- AI and Generative AI applications supporting clinical research, risk assessment and decision‑making.

Strategic Collaboration and Stakeholder Engagement

- Partner closel

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/8lr4ec