обновлено 10 дней назад
Head of R&D Data Elaboration (Data Science)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Head of R&D Data Elaboration (Data Science): Leading computational modelling, data elaboration, and visualization for pharmaceutical R&D and the product development lifecycle with an accent on advanced analytics, data platforms, and high-performance computing. Focus on building data models and visualizations, leading a specialist team, integrating machine learning and Industry 4.0 methods, and ensuring scientific rigor and reproducibility.
Location: Remote working opportunities available across Europe
Company
is an international research-focused pharmaceutical and healthcare group headquartered in Parma, Italy, operating in 31 countries with more than 7,000 employees.
What you will do
- Lead and grow a team focused on data elaboration, computational modelling, and visualization for R&D.
- Translate R&D stakeholder needs into data-driven analytical and visualization solutions.
- Drive the R&D digital roadmap and oversee the lifecycle of data models and visualizations from design through optimization.
- Develop advanced analytical models and support the R&D data elaboration platform, including high-performance computing solutions.
- Establish quality standards that ensure accuracy, reliability, and reproducibility of modelling and data elaboration activities.
- Manage collaboration with internal functions, external organizations, universities, and consortia, and communicate complex findings to technical and non-technical audiences.
Requirements
- PhD or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- At least 5 years of experience leading data elaboration or computational modelling in the pharmaceutical, biotech, or medtech industry.
- Knowledge of pharmaceutical development, drug development processes, relevant regulatory requirements, and product characterization.
- Knowledge of mathematical modelling, advanced analytics, statistics, simulation, machine learning, deep learning, big data management, and data management.
- Strong skills in data visualization tools such as Tableau and Power BI, programming languages including Python, R, and JavaScript, and SQL.
- Strong communication, collaboration, scientific rigor, reproducibility, and ability to work in complex cross-functional networks.
Nice to have
- Experience with pharmaceutical platforms and forms, especially inhalation products.
- Knowledge of Industry 4.0 technologies and analytical techniques used in pharmaceutical product development.
- Experience supporting R&D strategy with data science models and visualization.
Culture & Benefits
- Research-focused international environment with an emphasis on ethical, transparent, and socially responsible practices.
- Flexible and remote working approach across Europe.
- Continuous training, learning, and development opportunities.
- Focus on working environment quality, collective well-being, and work-life balance.
- Relocation support, tax assistance for foreign colleagues, and other people-care services.
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