обновлено 5 дней назад
Associate Director, Applied Data Science & Modelling (AI/ML)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Associate Director, Applied Data Science & Modelling (AI/ML): Leading AI/ML, advanced analytics, and data science solutions for Advanced Synthesis, with an accent on predictive modelling, optimization, and scientific decision-support systems. Focus on translating complex R&D needs into scalable end-to-end solutions, introducing emerging methodologies, and building data science capabilities across the organization.
Location: Visp, Switzerland. Office-first hybrid role, primarily based in the office with remote work permitted for 20% of the time. Relocation assistance is available for eligible candidates and their families.
Company
is a global life sciences organization that develops and manufactures medicines across more than 30 sites on five continents.
What you will do
- Lead AI/ML, advanced analytics, and data science solutions for scientific and operational challenges.
- Partner with R&D scientists and Advanced Synthesis stakeholders to translate business needs into scalable digital solutions.
- Design predictive models, optimization tools, and decision-support systems.
- Collaborate with data engineering, digital, and technical teams to deliver solutions from concept through deployment.
- Evaluate emerging AI/ML methodologies and establish scalable standards and frameworks.
- Mentor colleagues and support the growth of digital and data science capabilities.
Requirements
- PhD in Data Science, Computer Science, AI/ML, Chemistry, Chemical Engineering, Bioconjugation, or a related scientific discipline, or equivalent experience.
- Industry experience in data science, AI/ML, computational sciences, cheminformatics, bioinformatics, pharma, biotech, CDMO, or a similar environment.
- Advanced expertise in machine learning, artificial intelligence, and data science with demonstrated business impact.
- Strong programming skills in Python and experience with PyTorch, TensorFlow, or Scikit-learn.
- Experience developing end-to-end data science solutions from exploration and modelling through deployment and adoption.
- Strong stakeholder management and cross-functional collaboration skills, including the ability to influence senior leaders.
Nice to have
- Experience in bioconjugation, MLOps, digital transformation, or scientific workflow optimization.
Culture & Benefits
- Agile career environment and dynamic working culture.
- Inclusive and ethical workplace.
- Performance-focused compensation programs.
- Leadership opportunities through mentoring, capability building, and strategic influence.
- Benefits vary by role and location.
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