Senior Bioinformatician / Data ScientistDepartment: Clinical Development
Employment Type: Full Time
Location: Agomab Antwerp
DescriptionWe are seeking a highly motivated Bioinformatician / Data Scientist to join our Clinical Science & Data Analytics team within the Clinical Development organisation. The successful candidate will work at the interface of data science and clinical science, integrating multi-omics, clinical, and real‐world datasets to generate actionable insights. A key responsibility will be supporting the development of novel exploratory and pharmacodynamic (PD) endpoints through advanced analytics, literature mining, and real‐world evidence (RWE).
Key ResponsibilitiesWhat will you do?
Integrate clinical, molecular, RWE, and functional data to enable comprehensive analyses.
Conduct systematic literature mining to conceptualize and refine new clinical, translational, and PD endpoints.
Analyse and interpret high‐dimensional datasets (e.g., RNA‐seq, proteomics, genomics, imaging‐derived features).
Integrate internal datasets with publicly available and external data sources.
Collaborate closely with Biostatisticians, Translational Pharmacologists, Medical Directors and Clinical Biomarker Managers and IT managers to translate data into actionable insights.
Generate clear visualizations, analyses, and reports for cross‐functional teams, governance boards, and regulatory‐facing documents.
Support the creation of protocols, statistical analysis plans, and publications.
Ensure data quality, reproducibility, documentation, and compliance with data governance standards.
Skills, Knowledge and ExpertiseWho are you?
You have an advanced degree (MSc or PhD) in Bioinformatics, Computational Biology, Data Science, Biostatistics, or related field.
You bring 10+ years of experience in Bioinformatics/Data science within biotech or pharma, with a strong emphasis on small‐molecule drug development.
You have a strong experience working with omics datasets and high‐throughput biological data.
You are proficient with statistical tools and programming languages such as R, Python, or SAS.
You have experience creating data visualizations using appropriate libraries or tools (e.g. ggplot2, Shiny, Spotfire, dashboards).
You have a basic understanding of data security, access control, and regulatory requirements for biological and clinical data.
You have strong analytical and problem‐solving skills, with attention to detail.
You demonstrate excellent communication skills and ability to work in fast‐paced, multidisciplinary teams.
Knowledge of machine learning methods applied to biological data is an advantage.
Knowledge of fibrosis, immunology, inflammation, or related therapeutic areas is an advantage.
Experience with imaging biomarkers is a plus.
You communicate fluently in English; additional languages are a plus.
BenefitsWhat we offer
A unique opportunity to shape data science/analytics in an ambitious, innovation‐driven biotech company.
The chance to contribute directly to pioneering therapies addressing unmet medical needs.
A collaborative, excellence‐focused team environment with room for personal and professional growth.
Flexible working arrangements tailored to your needs (role based in Antwerp).
Competitive compensation and benefits.
A fast‐paced, agile, and empowering work environment.
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