About the Role:
We are seeking a highly experienced Senior Biomarker Data 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.