Lead Scientist
Solliciteren
Plaats
Gent9000
Oost-Vlaanderen
België
Contract
Vooltijds, Onbepaalde duurDatum gepubliceerd
2026-02-17Online to:
2026-04-18EUR 15.00 HOUR
Lead Scientist
- Rousselot Gent
- Oost-Vlaanderen
- 2 dagen geleden
Rousselot is the global leader in producing gelatin and collagens. The collagen products of our leading Peptan brand are used as functional ingredients for dietary supplements and functional foods. Rousselot and Peptan are both brands of Darling Ingredients.
Are you a scientist with a passion for translating complex data into meaningful insights? Do you thrive at the intersection of human nutrition, physiology and advanced analytics? Join our Science Integration team as a Lead Scientist – Data Analyst and help shape evidence‑based scientific narratives that drive innovation and impact.
The candidate should be able to work independently with a independent and proactive mindset.
You will work from our offices in Ghent/Belgium.
About the role
In this role, you will combine scientific expertise with strong analytical capabilities to uncover patterns, trends and insights from in vitro, animal, and human studies. You will transform raw data into clear, compelling stories that support decision‑making and bring scientific concepts to life for diverse audiences.
As a key member of our Science Integration team, you will work collaboratively with internal experts, researchers to support data‑driven projects and contribute to high‑quality scientific communication.
Your key responsibilities
Scientific Data Analysis & Insight Generation
Perform statistical analysis of scientific data from in vitro, animal and human studies.
Collect, interpret and integrate data from scientific articles, databases and project reports.
Apply advanced statistical methods and predictive modeling to clinical datasets.
Stay up to date on emerging technologies for data analysis, research methodologies and data‑science innovations.
Deliver evidence‑based recommendations to support Science and Innovation strategic decisions.
Scientific Storytelling & Visualization
Translate complex datasets into accessible, visually engaging materials (e.g., infographics, presentations, articles, illustrations).
Build clear scientific narratives that highlight the health and well‑being impact of nutritional solutions.
Collaborate closely with researchers and scientists to ensure accurate interpretation and communication of findings.
Data Governance & Cross‑Functional Collaboration
Ensure data integrity, compliance and best practices across all analytical workflows.
Support cross‑functional teams in designing and executing data‑driven projects.
Contribute to continuous improvement of data processing, visualization and reporting workflows.
What you bring
Education & Experience
MSc or PhD degree in statistics with a focus on Biology or a related field.
Minimum 4 years of experience in data analysis, preferably in nutritional, biomedical, or clinical research domains.
Skills & Competencies
Strong command of Python and/or R, NeXT flow, knowledge of HPC, and data visualization tools (Power BI, Tableau, Looker).
Experience in statistical analysis of clinical trial data.
Ability to build simple predictive models for human nutrition and apply modern data‑science techniques.
Perfect knowledge of English.
Additional Skills
Excellent communication skills and the ability to translate science into clear, accessible messages.
Strong critical thinking, attention to detail and stakeholder management skills.
Experience in clinical or preclinical research;
knowledge of peptide/protein biology is a plus.
Big data analysis of transcriptomic/proteomic
Machine learning
Curiosity, open‑mindedness and a passion for exploring new ideas.
Why join us?
Work in a dynamic interdisciplinary environment connecting science, innovation, and data analytics.
Contribute to meaningful projects that advance health and nutrition science.
Collaborate with experts across research, development, and communication teams.
Are you a scientist with a passion for translating complex data into meaningful insights? Do you thrive at the intersection of human nutrition, physiology and advanced analytics? Join our Science Integration team as a Lead Scientist – Data Analyst and help shape evidence‑based scientific narratives that drive innovation and impact.
The candidate should be able to work independently with a independent and proactive mindset.
You will work from our offices in Ghent/Belgium.
About the role
In this role, you will combine scientific expertise with strong analytical capabilities to uncover patterns, trends and insights from in vitro, animal, and human studies. You will transform raw data into clear, compelling stories that support decision‑making and bring scientific concepts to life for diverse audiences.
As a key member of our Science Integration team, you will work collaboratively with internal experts, researchers to support data‑driven projects and contribute to high‑quality scientific communication.
Your key responsibilities
Scientific Data Analysis & Insight Generation
Perform statistical analysis of scientific data from in vitro, animal and human studies.
Collect, interpret and integrate data from scientific articles, databases and project reports.
Apply advanced statistical methods and predictive modeling to clinical datasets.
Stay up to date on emerging technologies for data analysis, research methodologies and data‑science innovations.
Deliver evidence‑based recommendations to support Science and Innovation strategic decisions.
Scientific Storytelling & Visualization
Translate complex datasets into accessible, visually engaging materials (e.g., infographics, presentations, articles, illustrations).
Build clear scientific narratives that highlight the health and well‑being impact of nutritional solutions.
Collaborate closely with researchers and scientists to ensure accurate interpretation and communication of findings.
Data Governance & Cross‑Functional Collaboration
Ensure data integrity, compliance and best practices across all analytical workflows.
Support cross‑functional teams in designing and executing data‑driven projects.
Contribute to continuous improvement of data processing, visualization and reporting workflows.
What you bring
Education & Experience
MSc or PhD degree in statistics with a focus on Biology or a related field.
Minimum 4 years of experience in data analysis, preferably in nutritional, biomedical, or clinical research domains.
Skills & Competencies
Strong command of Python and/or R, NeXT flow, knowledge of HPC, and data visualization tools (Power BI, Tableau, Looker).
Experience in statistical analysis of clinical trial data.
Ability to build simple predictive models for human nutrition and apply modern data‑science techniques.
Perfect knowledge of English.
Additional Skills
Excellent communication skills and the ability to translate science into clear, accessible messages.
Strong critical thinking, attention to detail and stakeholder management skills.
Experience in clinical or preclinical research;
knowledge of peptide/protein biology is a plus.
Big data analysis of transcriptomic/proteomic
Machine learning
Curiosity, open‑mindedness and a passion for exploring new ideas.
Why join us?
Work in a dynamic interdisciplinary environment connecting science, innovation, and data analytics.
Contribute to meaningful projects that advance health and nutrition science.
Collaborate with experts across research, development, and communication teams.