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Senior Clinical Data Scientist

Danone

Utrecht
Full-time
10+ years experience
On-site

€85,000 - €100,000 per year

Key Skills

Observational Research
Real-World Evidence Generation
Biostatistics
Study Design
Statistical Analysis
Digital Health Evaluation
AI Algorithm Evaluation
Causal Inference
Bias and Confounding Assessment
Protocol Review
Statistical Analysis Plan Review
Study Report Review
Mentoring and Coaching
Stakeholder Influence
Methodological Standards

Job Description

About The Job We are seeking an experienced Clinical Data Scientist to grow Danone's capability in non-randomized evidence generation and real-world data science. In this role, you will provide statistical oversight for evidence-generation initiatives that mainly fall outside the traditional randomized controlled trial framework, this can include observational studies, pragmatic trials, single-arm studies. A strong focus will be supporting the evaluation of studies in which digital health tools are developed. You will establish methodological standards, provide expert scientific guidance, mentor colleagues, and contribute to evidence-generation decisions across research programs and business functions. You will play a key role in strengthening Danone's ability to generate evidence from real-world settings, through digital health tools. You are a self-starter who identifies opportunities and acts on them, taking initiative and bringing structure where needed. Main responsibilities Define and drive methodological standards for observational research, real-world evidence generation and digital health tool (AI algorithm) evaluation. Identify emerging methodological developments and translate them into practical applications within Danone. Advise stakeholders on study design, fit-for-purpose evidence strategies, sources of bias, confounding and where feasible causal inference approaches. Provide senior review and oversight of protocols, statistical analysis plans and study reports. Mentor and coach statisticians, statistical programmers and clinical data scientists. Build strong internal and external networks to advance evidence-generation capabilities. Key Deliverables Statistical oversight across a portfolio of studies and digital health initiatives. Fit-for-purpose protocols, SAPs and study reports. Capability-building initiatives, training materials and mentoring outcomes. About you You are a scientifically rigorous and commercially minded data scientist who enjoys translating complex methodological challenges into practical evidence-generation strategies. You are comfortable influencing senior stakeholders, navigating ambiguity, and building capability across teams. Combining deep expertise in observational research with a collaborative mindset, you help ensure that evidence generated through clinical studies and digital health solutions is robust, credible and fit for decision-making. You bring PhD or MSc in Biostatistics, Statistics, Epidemiology or a related quantitative discipline. Experience designing and analysing observational studies and other non-randomised evidence-generation approaches. Experience coaching and developing other technical experts. Takes initiative and demonstrates strong ownership. About us At Danone we are committed to our mission “bringing health, through food to as many people as possible”. We are working together to make sure that our brands, like Nutricia and Nutrilon, create real benefits for people, communities and the planet. You will be part of one of the largest Certified B Corps™ in the world. Being B Corp means to be part of a select movement of companies verified to be meeting the highest standards of social and environmental criteria and using business as a force for good. One Planet. One Health. Our state-of-the-art research and innovation center builds bridges between food and science and is global in reach, founded on over 125 years of experience in life & food science, technology and user experience and is at the forefront of pioneering advances in specialized nutrition. We offer All Danoners receive a complete package of benefits. This includes a competitive salary and yearly bonus, a premium free pension, 30 days of annual leave (with the opportunity to purchase more) and you will receive a monthly health care allowance. In addition, you can get discount on your gym membership, and we offer initiatives focused on nutrition, physical, and mental health. We provide continuous learning opportunities through workshops, online courses and training sessions. We put people at the center of everything we do. Bring your unique perspective, ambitions and ideas to the table – the impact you could make might surprise you. We are committed to embrace diversity, nurturing an inclusive workplace where every individual is valued; Diversity, Equity, and Inclusion (DEI) is deeply embedded in Danone's DNA. The salary range for this role is €85.000 – €100.000 gross annually (including 8% holiday allowance). Your final offer will reflect your skills and experience while also ensuring alignment with our internal equity and salary framework What's Next It’s simple – hit the “apply” button. In order to comply with GDPR we can’t process your personal data without your given consent, so please apply directly via this website. Good luck! We can’t wait to meet you. Need more information? Please contact Robin Hiariej on [email protected]. All applications will be considered for a vacancy without discrimination based on ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, disability, or any other characteristic protected by law.

Core Responsibilities

Set methodological standards and provide statistical oversight for observational studies, real-world evidence initiatives, and digital health tool evaluations. Advise stakeholders on study design and evidence strategies, review study documents, mentor technical colleagues, and build internal and external capability.

Requirements

Requires a PhD or MSc in biostatistics, statistics, epidemiology, or a related quantitative discipline, along with experience designing and analyzing observational and other non-randomized studies. The role also requires experience coaching technical experts, strong scientific rigor, initiative, ownership, and the ability to influence stakeholders.

Benefits

  • Yearly Bonus
  • Premium-Free Pension
  • 30 Days of Annual Leave
  • Option to Purchase Additional Annual Leave
  • Monthly Healthcare Allowance
  • Gym Membership Discount
  • Nutrition, Physical, and Mental Health Initiatives
  • Learning and Development Opportunities

About Danone

Industry: Food and Beverage Manufacturing

Company size: 10,001+ employees

Danone is a global leader in the food and beverage industry, operating in three fast-growing, health-focused categories: Essential Dairy & Plant-Based, Waters, and Specialized Nutrition. True to its mission—bringing health through food to as many people as possible—Danone promotes healthier and more sustainable eating habits, while striving to deliver measurable impact across nutritional, social, societal, and environmental dimensions. In 2026, Danone continues the rollout of the second chapter of its Renew strategy, aimed at strengthening its competitiveness, accelerating its transformation, and creating sustainable value. With 90,000 employees and a presence in over 120 markets, Danone generated €27.283 billion in revenue in 2025, reflecting solid growth driven by a positive volume/mix globally. Its portfolio includes iconic international brands—Actimel, Activia, Alpro, Aptamil, Danette, Danonino, evian, Volvic, Nutricia, among others—as well as strong local and regional brands. Danone is listed on Euronext Paris and present on the OTCQX platform through an ADR program. Already included in numerous sustainability indexes, the Group reached a major milestone by becoming fully B Corp™ certified in 2025, underscoring its global commitment to a responsible business model. **Please note: all official Danone job opportunities are published on our Careers website: https://careers.danone.com/ Danone will never contact candidates using [email protected] email addresses. Please stay vigilant and never share personal information if you are unsure of the source.

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