Group Leader in Applied Data Analytics

☞ Nestlé

View: 147

Update day: 26-03-2024

Location: Lausanne Vaud VD

Category: R & D Quality Assurance / Quality Control Other

Industry: Food Beverage Services Beverage Manufacturing Manufacturing

Job type: Full-time

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Position Snapshot

Location: Nestlé Research, Lausanne, Switzerland

Company: Société des Produits Nestlé S.A.

Act. Rate: Full-Time 100%

Type of contract: Permanent contract

Genuine opportunities for career and personal development

Modern “smart office” locations providing agile & collaborative workspaces

Dynamic international working environment

Position Summary

Attractive additional benefits

Nestlé Research is based in Lausanne, Switzerland, employs approximately 1000 people and is comprised of five Nestlé Institutes: Material Sciences, Health Sciences, Food Safety & Analytical Sciences, Agricultural Sciences and Packaging Sciences. Please have a tour of our facilities using this link or read more about Nestlé Research at our website.

As a Group Leader, you will lead data-driven research across our strategic research priorities in health sciences. You will operate in a fast-paced, inclusive, and international working environment with many opportunities across different companies, functions, and regions. Don’t miss the opportunity.

A Day in the Life of a Group Leader
  • Implement state-of-the-art data analytics, exploratory data analyses, and data modeling approaches to transform our portfolio towards data-driven, translational research
  • Coordinate closely with subject matter experts to build research programs that leverage data from clinical and real-world evidence trials as well as large cohort studies to optimize health benefits of nutrition interventions
  • Design projects aligned with the institute’s objectives, manage a research portfolio, and deliver on project plans
  • Work with a team of junior and senior scientists to enable their career ambitions as experts and managers

What Will Make You Successful
  • PhD with a minimum of 6-8 years post-graduate work experience in data science in the domain of life sciences
  • Expertise working with datasets from large human cohorts and/or real-world health and nutrition data
  • Proficiency in data science including multi-omics data analysis and predictive modeling of health outcomes using multi-modal biomedical to generate concepts for stratification and/or personalized nutrition approaches
  • Excellent communication, organization and interpersonal skills, and previous experience in team leadership
  • Impactful contributions to product translation in a nutrition or pharmaceutical industry setting is a strong plus
  • Track record in scientific publications and a strong external network
  • Fluency in English (spoken and written)
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Deadline: 10-05-2024

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