R&D Specialist - System Science

Nestlé; Orbe; On-site; CHF 120,000 - 170,000; Full time

Benefits offered by this job

Paid holidays beyond legal_require

Healthcare contribution

Pension plan

Performance based bonus

Parental leave

Learning and development

Employee discounts

Job summary

Nestlé Orbe is seeking an experienced R&D Specialist for System Science to build scientific foundations that explain and optimize beverage and packaging system performance. You will collaborate with system performance experts, product developers and engineers across Nestlé locations worldwide to drive innovation at scale.

In this role you’ll design experiments, formulate hypotheses, and develop physics-based models, communicating complex ideas clearly in English while delivering measurable

Qualifications

• Strong knowledge of physical chemistry, applied physics, mechanical engineering or a related scientific field.
• Ability to apply predictive modelling to explain system behaviour and test design choices.
• Expertise in transport phenomena, fluid systems, experimentation and packaging to solve complex system challenges.
• Connect fundamental science with system design questions and communicate across multidisciplinary teams.
• Fluent in English and able to translate complex scientific concepts into clear messages.

Responsibilities

• Formulating hypotheses that connect product, machine and packaging design choices with beverage performance.
• Designing experiments that reveal flow, pressure, mass transfer, extraction and foam generation mechanisms.
• Building predictive, physics-based models that explain system behaviour and guide technical decisions.
• Identifying performance drivers, variability and knowledge gaps to improve system robustness and optimization.
• Creating reusable scientific knowledge that accelerates future research, product development and system innovation.
• Translating scientific findings into clear recommendations for technical integration, validation and performance improvement.

Skills

Physical chemistry

Applied physics

Mechanical engineering

Predictive modelling

Transport phenomena

Fluids systems

Packaging knowledge

English fluency

Job description

Location: Orbe, Switzerland

Work model: On site / Full time

Contract type / duration: Permanent

Target start date: As soon as possible

Be a force for good and delight consumers through coffee and beverage innovation

As an R&D Specialist for System Science at Nestlé Product Technology Center for Coffee, your mission is to build the scientific foundations needed to explain, optimize and predict product, machine and packaging system performance. Our teams in Orbe, Konolfingen, Singapore and Marysville lead coffee and beverage R&D for Nestlé markets worldwide. You’ll make a difference by collaborating closely with system performance specialists, product developers, engineers and multidisciplinary research teams. This is your opportunity to take ownership, grow your expertise, and deliver meaningful results that make a difference at scale. This is your opportunity to drive cutting-edge innovation, strengthen your expertise and deliver meaningful results to create unique consumer experiences at global scale.

How you’ll make an impact as an &D Specialist - System Science

• Formulating hypotheses that connect product, machine and packaging design choices with beverage performance.
• Designing experiments that reveal flow, pressure, mass transfer, extraction, dissolution and foam generation mechanisms.
• Building predictive, physics-based models that explain system behaviour and guide technical decisions.
• Identifying performance drivers, variability and knowledge gaps to improve system robustness and optimization.
• Creating reusable scientific knowledge that accelerates future research, product development and system innovation.
• Translating scientific findings into clear recommendations for technical integration, validation and performance improvement.

What Will Make You Successful

• Bringing strong knowledge of physical chemistry, applied physics, mechanical engineering or a related scientific field.
• Applying predictive modelling to explain system behaviour, test design choices and anticipate performance.
• Using expertise in transport phenomena, fluid systems, experimentation and packaging to solve complex system challenges.
• Connecting fundamental science with system design questions and communicating clearly across multidisciplinary teams.
• Communicating fluently in English and translating complex scientific concepts into clear, engaging messages.
• Demonstrating courage, collaboration, speed and continuous learning, while translating ideas into measurable impact and creating shared value.

At Nestlé Switzerland, We Care About Our People.

We offer a competitive and well-rounded benefits package designed to support your growth and wellbeing at work and in life:

• Paid holidays beyond legal requirements
• Healthcare contribution and Employee Assistance Program for you and your family
• Strong employer contribution to your pension plan
• Performance based bonus
• Generous parental leave and comprehensive family support solutions
• Learning and development opportunities to grow your skills
• Attractive employee discounts across everyday 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 an 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.