argenx

About the Company

argenx is a global immunology company committed to improving the lives of people living with severe autoimmune diseases. Partnering with leading academic researchers through its Immunology Innovation Program (IIP), argenx is translating immunology breakthroughs into a world-class portfolio of novel antibody-based medicines.

Listed Jobs

Company Name

argenx

Job Title

Biomarker Data Scientist

Job Description

**Job Title** Biomarker Data Scientist **Role Summary** Lead statistical and data science functions for biomarker analysis across autoimmune clinical programs. Design and execute quantitative strategies, manage end‑to‑end biomarker statistics, and drive evidence‑based decision making in both forward and reverse translational research. **Expectations** - Act as the statistical authority for biomarker and multi‑omics data analysis. - Develop and implement robust analytical workflows that meet regulatory standards (ALCOA++). - Mentor and influence cross‑functional teams in advanced R, Python, and data science practices. **Key Responsibilities** 1. Own biomarker statistics for autoimmune and immunological trials; translate research questions into quantitative strategies. 2. Design and execute analyses (longitudinal, time‑to‑event, multiplicity control) and report findings to program stakeholders. 3. Analyze high‑dimensional data (transcriptomics, proteomics, metabolomics); integrate modalities with rigorous QC/normalization. 4. Establish reproducible data analysis pipelines, including R packages, Git workflows, and cloud analytics platforms. 5. Develop biomarker dashboards (R/Shiny, Spotfire, or similar) and produce ADaM‑linked tables and figures. 6. Champion data reusability, metadata analysis, and reverse translation initiatives. 7. Contribute to regulatory submissions and meetings as a senior biostatistics lead. **Required Skills** - Advanced proficiency in R (Bioconductor) and Python for scientific computing/ML; SAS experience valued. - Expertise in biomarker methods (surrogate, diagnostic, prognostic, pharmacodynamic, predictive). - Strong statistical background: dimensionality reduction, feature engineering, longitudinal models, survival analysis, multiplicity adjustments, robust inference in high‑dimensional settings. - Machine learning experience (classification, clustering, regularized models) with MLflow/cloud workflows. - Knowledge of CDISC standards and ADaM. - Git, Databricks, Snowflake, CI/CD, containerization, and data engineering patterns for analytics readiness. - Excellent written and verbal communication for clear statistical reporting to cross‑functional teams. **Required Education & Certifications** - Advanced degree (Ph.D., M.Sc., or equivalent) in Biostatistics, Biomedical Science, Bioengineering, or a related quantitative field. - Minimum 8 years of pharma/biotech experience in clinical development. ---

Ghent, Belgium

Remote

20-01-2026

Company Name

argenx

Job Title

Scientist, Integrated Discovery Biology

Job Description

**Job Title:** Scientist, Integrated Discovery Biology **Role Summary:** Lead data‑driven discovery efforts at the intersection of immunology, bioinformatics, and therapeutic antibody development. Partner with discovery scientists, antibody engineers, and quantitative teams to translate biological hypotheses into multi‑omics analyses that inform early‑stage pipeline decisions and target validation for autoimmune disease programs. **Expectations:** - On‑site presence ≥ 4 days/week at the Zwijnaarde (Gent) facility. - Serve as primary data‑science liaison for discovery projects, ensuring analytical feasibility and alignment with project milestones. - Deliver clear, decision‑ready biological insights and recommendations to cross‑functional teams and leadership. **Key Responsibilities:** - Act as the main point of contact for data‑science support, converting biological questions into computational strategies. - Design and execute multi‑omics pipelines (bulk RNA‑seq, scRNA‑seq, proteomics, genetics, pathway/network analysis). - Integrate internal and public datasets to enhance target knowledge and support immune‑cell characterization, mechanism‑of‑action studies, and safety assessments. - Co‑develop analysis plans covering cell‑state perturbations, ligand‑receptor interactions, target prioritization, and tissue selectivity. - Collaborate with academic partners and CROs to harmonize data analysis approaches. - Synthesize results into concise biological narratives, validation evidence summaries, mechanistic visualizations, and go/no‑go recommendations. - Maintain rigorous data quality, documentation, and reproducibility standards; share best practices across teams. - Communicate findings effectively to multidisciplinary audiences and scientific leadership. **Required Skills:** - Strong expertise in immunology/inflammatory biology and immune‑cell pathways. - Proven experience analyzing bulk RNA‑seq, scRNA‑seq, proteomics, and immunomics data. - Proficiency in data‑analysis environments (R, Python, or equivalent) and familiarity with bioinformatics pipelines. - Ability to collaborate with data scientists and translate complex analyses into actionable insights. - Excellent written and oral communication skills; ability to produce clear scientific reports and presentations. **Required Education & Certifications:** - Ph.D. in Immunology, Computational Biology, Bioinformatics, or a closely related field. - Industrial experience or regular interaction with industry partners preferred. - No specific certifications required; demonstrated expertise through publications or project deliverables is essential.

Ghent, Belgium

On site

14-03-2026