Biostatistician Data Scientist

About the Role:

We are seeking a highly experienced Biostatistician Biomarker Scientist to join a cutting-edge immunology-focused biotech team. In this role, you will lead advanced statistical and computational analyses of biomarker and multi-omics data to support clinical development programs. You’ll translate complex research questions into actionable quantitative strategies, develop reproducible analysis workflows, and provide key insights to cross-functional teams.

What You’ll Do:

• Own end-to-end biomarker statistics for clinical trials in immunology.
• Design and execute robust analyses: longitudinal modeling, survival analysis, multiplicity control, and high-dimensional inference.
• Analyze and integrate multi-omics data (transcriptomics, proteomics, metabolomics).
• Develop reproducible workflows in R/Bioconductor, Python, and collaborate on cloud-based analytics (Databricks, Snowflake).
• Build dashboards and visualizations to communicate findings effectively (R/Shiny, Spotfire, or similar).
• Mentor team members and contribute to data science best practices .
• Collaborate with cross-functional stakeholders including Clinical, Translational, and Preclinical teams.

What We’re Looking For:

• Advanced degree in Biostatistics, Bioinformatics, Biomedical Science, or related quantitative field .
• 8+ years’ experience in pharma/biotech , with clinical development exposure.
• Strong programming skills: R/Bioconductor (expert) , Python for scientific computing/ML; SAS is a plus.
• Deep experience in biomarker methods (diagnostic, prognostic, pharmacodynamic, response predictive).
• Experience with multi-omics datasets, feature engineering, dimensionality reduction, ML workflows .
• Familiarity with CDISC standards, data visualization, and cloud analytics platforms .
• Excellent communication skills, with the ability to translate complex analyses for diverse audiences.

Why This Role:

• Opportunity to work on cutting-edge translational science in a high-impact, collaborative environment.
• Play a pivotal role in advancing data science strategy for biomarker and multi-omics programs.
• Competitive package with extensive benefits .

Work Arrangement:

• Hybrid role with 2 days/week onsite in Ghent, Belgium .

If you are passionate about transforming biomarker and multi-omics data into actionable insights and mentoring teams in a dynamic biotech environment, we’d love to hear from you.