Argenx is a fast-growing, clinical-stage biopharmaceutical company focused on developing innovative antibody-based therapies to improve the lives of people with severe autoimmune diseases. Leveraging our unique antibody engineering technologies and the complementary expertise of our global team, we have built a differentiated pipeline of novel product candidates, tailored from discovery through development to meet specific patient needs. As we expand our therapeutic franchises across neuromuscular, neurology, rheumatology, and nephrology indications, we remain deeply committed to our core values of collaboration, empowerment, humility, innovation, and excellence—always staying science-based, data-driven, and patient-focused.
We are seeking a highly motivated Senior Scientist with expertise in immunology research and biomarker data analysis to join our Translational Science team. The successful candidate will play a key role in supporting and leading biomarker strategies, enabling stratified medicine/diagnostic approaches, and advancing the probability of successful drug development and approval.
This position is based at our facility in Zwijnaarde, Belgium, and requires regular on-site presence in combination with remote working possibilities.
We look forward to receiving your CV and cover letter when applying. A cover letter is mandatory for your application to be considered.
Main responsibilities
Biomarker Strategy & Implementation
1. Drive precision medicine strategies while leveraging assay technology expertise, technical knowledge, disease understanding, and patient needs.
2. Participate in the selection, development, and validation of predictive, pharmacodynamic, and safety biomarkers, including biomarkers supporting treatment response, disease understanding and Mode-of Action.
3. Translate biomarker context of use (COU) into analytical requirements and ensure fit-for-purpose assay and vendor selection.
4. Drive the implementation of biomarker assays and sample analysis, collaborating with internal and external teams, including omics approaches
5. Act as an interactor between biomarker and translational scientists, ensuring alignment of biomarker strategies with translational research objectives.
6. Collaborate closely with Medical Affairs and Commercial teams to ensure biomarker insights support clinical positioning and market access strategies.
7. Contribute to reverse translation efforts, using clinical data to inform preclinical research and future biomarker development.
Biomarker Data Analysis & Interpretation
8. Support Biomarker Data Science team to ensure data is analysed in line with COU, assay capabilities and clinical development strategy.
9. Contribute to the FAIRification of biomarker data and their metadata.
10. Collaborate with cross-functional teams to integrate biomarker findings into drug discovery and development decisions, including patient selection and dose optimization.
11. Act as a liaison between scientific teams and data scientists during statistical analysis plan (SAP) development, ensuring research questions and objectives are accurately reflected.
12. Gather and clarify requirements from scientists and stakeholders for data scientists and statisticians.
13. Interpret analysis results provided by statisticians or data scientists and partner to summarization of key findings.
14. Prepare clear, scientifically robust reports and presentations of insights and implications of results to scientific internal stakeholders, regulatory submissions, and external publications.
Innovation & Framework
15. Support the build and maintenance of data storage solutions for translational activities and ensure compliance with FAIR data principles.
16. Stay current with emerging technologies, analytical methods, and regulatory guidance in biomarker research.
17. Contribute to the implementation of novel data analysis and biomarker identification approaches, including machine learning and AI-driven strategies for biomarker discovery.
18. Identify opportunities to streamline workflows and improve data quality, supporting operational excellence.
Professional experience / expertise
19. PhD in Immunology, Molecular Biology, with knowledge of Bioinformatics, Computational Biology, or Biostatistics (or equivalent experience).
20. Strong understanding of clinical or research study design principles.
21. Experience collaborating with statisticians and data scientists.
22. Proven ability to interpret statistical outputs of biomarker data and to clearly communicate findings.
23. At least 3 years of relevant research/industry experience in biomarker strategy and data analysis.
24. Proven track record in innovative science, publications, and impact on development and decision making.
25. Experience in disease areas aligned to argenx’s immunology-focused ambitions.
26. Proficiency in biomarker data and statistical analysis, including omics
27. Excellent written and verbal communication skills.
28. Experience with biomarker data analysis and regulatory requirements (GCP/GCLP).
Profile:
29. Profound medical/scientific knowledge, especially in immunology.
30. Team player, motivated, enthusiastic, accurate, and resilient.
31. Strong project, organizational, and interpersonal skills.
32. Excellent communication skills in English (written and oral).
33. Ability to adapt to changing priorities and work effectively on multiple programs in a fast-paced environment.
34. Capable of collaborating with internal and external stakeholders.
Offer:
35. A full-time position within a dynamic, fast-growing, and human-sized biotech company driven by science, creativity, and innovation.
36. Member of a cross-disciplinary team involved in clinical development of therapeutic antibodies.
37. Opportunity to contribute to the continued build-out of the Translational Science team.
38. Competitive salary package with extensive benefits.
39. Possibility balance onsite presence and remote work with limited travel required - Relocation to Belgium will be preferred.