Senior Specialist Applied Mathematics & Digital Biology

Nestlé; Lausanne; Hybrid; CHF 150.000 - 190.000; Vollzeit

Benefits dieser Stelle

Flexible working options

Paid holidays

Learning and development opportunities

Performance-based bonus

Healthcare contribution

Pension plan contribution

Parental leave

Employee discounts

Zusammenfassung

Nestlé Research is seeking a Senior Specialist in Applied Mathematics & Digital Biology in Vers-Chez-les-Blanc, Switzerland. You will apply advanced mathematical modelling, data science and digital biology to transform complex health and nutrition data into predictive, interpretable insights.

Collaborate with scientists, data teams, and external partners to deliver innovative solutions for people, pets and the planet.

Qualifikationen

• Strong expertise in mathematical modelling, statistical learning and machine learning.
• Experience applying quantitative methods to health, nutrition, biological, clinical or omics data.
• Ability to design AI-enabled analytical workflows and communicate complex models clearly.

Aufgaben

• Lead applied mathematics and digital biology approaches for health and nutrition research.
• Develop advanced mathematical and computational models to support scientific decision-making.
• Translate complex biological, clinical, nutritional, microbiome and omics data into clear, actionable insights.
• Build AI-enabled analytical workflows that move from descriptive analytics to predictive and decision-ready science.
• Guide cross-functional teams in using robust models and reproducible workflows with actionable recommendations.
• Strengthen Nestlé’s future-ready digital biology capabilities through scalable models and strategic partnerships.

Kenntnisse

Mathematical modelling

Statistical learning

Machine learning

Causal inference

Optimization

Predictive modelling

Mechanistic modelling

Quantitative methods

Digital biology

Collaboration

English (fluent)

Jobbeschreibung

Location: Vers-Chez-les-Blanc, Switzerland

Work model: Hybrid / Full time

Contract type / duration: Permanent

Shape the future through scientific breakthroughs and innovation.

As a Senior Specialist Applied Mathematics & Digital Biology at Nestlé Research, your mission is to apply advanced mathematical modelling, data science, scientific artificial intelligence and digital biology to transform complex health, nutrition, clinical and biological data into predictive, interpretable and experimentally actionable insights. You’ll make a difference by collaborating closely with scientists, data scientists, computational biologists, clinical and translational researchers, nutrition experts, digital teams and external scientific or technology partners. This is your opportunity to turn ideas into sustainable and innovative solutions for people, pets, and the planet.

How you’ll make an impact as a Senior Specialist Applied Mathematics & Digital Biology

• Leading applied mathematics and digital biology approaches that advance predictive, mechanism-based health and nutrition research.
• Developing advanced mathematical, statistical and computational models that strengthen scientific decision-making across research programs.
• Translating complex biological, clinical, nutritional, microbiome and omics data into clear insights that support discovery, validation and innovation.
• Building artificial intelligence-enabled analytical workflows that help project teams move from descriptive analysis to predictive and decision-ready science.
• Guiding cross-functional teams in using robust models, reproducible workflows and actionable recommendations to accelerate health-benefit innovation.
• Lead and strengthen future-ready digital biology capabilities through scalable models, workflows, scientific frameworks, and strategic partnerships that accelerate innovation and reinforce Nestlé’s leadership in digital biology.

What Will Make You Successful

• Bringing strong expertise in mathematical modelling, statistical learning, machine learning, causal inference, optimisation, predictive modelling and mechanistic modelling.
• Applying quantitative methods to complex health, nutrition, biological, clinical, microbiome, omics or experimental datasets.
• Leveraging digital biology approaches (including digital twins, virtual cells scientific, agentic AI and foundation models) to accelerate discovery and innovation
• Collaborating across research, data science, clinical, nutrition, digital and experimental teams while communicating complex models in a clear and engaging way.
• Communicating fluently in English.
• Bringing collaboration, fresh thinking, bold questions, respect, and a positive, wellbeing-oriented mindset.

Benefits

Our benefits are designed to support your growth and wellbeing, so you can thrive at work and in life:

• Flexible working options, including hybrid work possibilities (for office based roles)
• Paid holidays beyond legal requirements
• Learning and development opportunities to grow your career
• Performance based bonus
• Healthcare contribution and access to the Employee Assistance Program
• Strong employer contribution to your pension plan
• Generous parental leave and comprehensive family support solutions
• Attractive employee discounts across various products and services

What To Expect From Our Hiring Process

We are committed to an inclusive and respectful hiring experience and are happy to provide reasonable accommodations if needed. Our workplaces are fully accessible and supported by a strong safety culture, with modern installations and procedures to ensure a safe environment for everyone.

The hiring process typically includes a video interview with Talent Acquisition, an interview with the hiring team, and a final discussion and offer. We review applications as they are received and close the role once a strong list of relevant candidates is identified, so we encourage you to apply early. All information is treated confidentially.

Stay vigilant: Nestlé will only contact candidates via official company email addresses and will never ask for payments or sensitive personal information at any stage of the hiring process.