> Markdown version of [/jobs/ext/4664677-senior-clinical-data-scientist](https://www.wearedevelopers.com/jobs/ext/4664677-senior-clinical-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Clinical Data Scientist

- **Company:** Danone Nederland B.V.
- **Location:** Utrecht, Netherlands
- **Experience:** Expert
- **Salary:** €6,558 - €7,716
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Clinical Data Repository, EHealth
- **Published:** November 11, 2026
- **Apply:** https://www.nationalevacaturebank.nl/vacature/bf812557-3097-4d59-9682-858982067f5c/senior-clinical-data-scientist

## About the Role

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.

## Description

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.