Remote Senior Data Scientist
Overview In this role you will design, develop, and deploy advanced data science and AI solutions to support Clinical Development across the drug development lifecycle. You will work with clinical trial and real-world data to uncover actionable insights that enhance decision-making, efficiency, and patient-centricity. Collaborating with Global Clinical Development and Digital teams, you translate complex problems into robust analytics that drive evidence generation and improvements to study design and execution. This is an opportunity to shape how data science accelerates drug development at Chiesi.
Retribuzione / Benefits
pension
private medical insurance
flexible benefits programme
relocation support
remote work options
Design, develop, validate, and deploy analytics, ML/AI, and Generative AI solutions for Clinical Development and Operations
Apply statistical modelling and predictive analytics to diverse healthcare data sources
Translate data into actionable recommendations for evidence-based decision-making
Leverage clinical trial, real-world, and digital health data to improve quality and efficiency
Evaluate new technologies and data sources to enhance clinical research and patient outcomes
Contribute to data science best practices and analytical frameworks
Collaborate with Global Clinical Development and Digital teams to identify opportunities
Support data-driven strategic decisions and act as an AI/data science advisor in Clinical Development
Foster innovation and collaboration with external partners to accelerate capability development
Participate in scientific communications and external collaborations when appropriate
Strong knowledge of ML/AI, predictive analytics, and statistical modelling
Proficiency in Python and/or R
Experience with pandas, NumPy, scikit-learn, TensorFlow, PyTorch
Experience deploying ML models in production
Knowledge of Generative AI, LLMs, RAG, and emerging AI frameworks
Experience with healthcare, clinical, and real-world data
Strong data visualization, storytelling, and communication skills
Understanding of software development practices, version control, and reproducible workflows
Demonstrated experience in Clinical Development, Clinical Research or Real World Evidence environments
Experience translating complex challenges into impactful analytical solutions
Master's or PhD in relevant field; experience in pharma/biotech/Life sciences
Cross-functional collaboration
Machine learning and AI
Statistical modelling
Retribuzione / Benefits
pension
private medical insurance
flexible benefits programme
relocation support
remote work options
Design, develop, validate, and deploy analytics, ML/AI, and Generative AI solutions for Clinical Development and Operations
Apply statistical modelling and predictive analytics to diverse healthcare data sources
Translate data into actionable recommendations for evidence-based decision-making
Leverage clinical trial, real-world, and digital health data to improve quality and efficiency
Evaluate new technologies and data sources to enhance clinical research and patient outcomes
Contribute to data science best practices and analytical frameworks
Collaborate with Global Clinical Development and Digital teams to identify opportunities
Support data-driven strategic decisions and act as an AI/data science advisor in Clinical Development
Foster innovation and collaboration with external partners to accelerate capability development
Participate in scientific communications and external collaborations when appropriate
Strong knowledge of ML/AI, predictive analytics, and statistical modelling
Proficiency in Python and/or R
Experience with pandas, NumPy, scikit-learn, TensorFlow, PyTorch
Experience deploying ML models in production
Knowledge of Generative AI, LLMs, RAG, and emerging AI frameworks
Experience with healthcare, clinical, and real-world data
Strong data visualization, storytelling, and communication skills
Understanding of software development practices, version control, and reproducible workflows
Demonstrated experience in Clinical Development, Clinical Research or Real World Evidence environments
Experience translating complex challenges into impactful analytical solutions
Master's or PhD in relevant field; experience in pharma/biotech/Life sciences
Cross-functional collaboration
Machine learning and AI
Statistical modelling