Scientist, Integrated Discovery Biology

Join us as we transform immunology and deliver medicines that help autoimmune patients get their lives back. argenx is preparing for multi-dimensional expansion to reach more patients through a rich pipeline of differentiated assets, led by VYVGART, our first-in-class neonatal Fc receptor blocker approved for the treatment of gMG, and with the potential to treat patients across dozens of severe autoimmune diseases.

We are building a new kind of biotech company, one that maintains its roots as a science-based start-up and pushes our commitment to innovate across all corners of our business. We strive to inspire and grow our company, our partnerships, our science, and our people, because when we do, we deliver more for patients. 

We are currently looking for a collaborative and scientifically curious Scientist, Integrated Discovery Biology to join our dynamic R&D team in our facility in Gent/Zwijnaarde. This role is positioned at the intersection of bioinformatics, immunology and therapeutic antibody discovery. You will partner closely with discovery scientists, antibody engineers, and quantitative scientists to translate novel target validation questions and discovery research project hypotheses into focused omics analyses and data-driven answers that directly influence our early stage pipeline.

Through multi-omics data analysis, integrating public and internal datasets, you will help shape the knowledge base of our therapeutic targets and support efficient, early decision-making to prioritize insourcing of novel projects as well as program progression towards development.

This role is ideal for someone who thrives in cross‑functional science, enjoys working with discovery scientists to tackle complex biological questions, can translate those questions into structured, data‑driven approaches, and is motivated by making a meaningful therapeutic impact.

This position is based at our facility in Zwijnaarde, Belgium, and expects on-site presence at least 4 days a week.

Work description

Key responsibilities include

Integrated Biology & Data Science Support Partnership

• Serve as the primary Data Science point of contact for discovery project teams. Partner with discovery project leads and data scientists to translate biological hypotheses into actionable computational strategies.
• Interpret immunology and disease questions and pro-actively propose fit‑for‑purpose data sourcing, processing and analytical approaches. This all in close collaboration with project scientists to co-develop a strategy tailored to the biological question/hypothesis.
• Determine and provide strategic direction of analytical feasibility and alignment of omics platforms with project decision needs. Co‑develop analysis plans covering immune‑cell characterization, target validation, MoA exploration, and integrated multi‑omics interpretation.
• Collaborate with academic partners and CROs to support analysis of their datasets and harmonize approaches.

High‑Quality Multi‑Omics Analysis

• Execute robust processing and analysis of bulk/scRNA‑seq, proteomics, genetics, and pathway/network datasets.
• Integrate internal discovery data with public datasets to strengthen biological insights.
• With support of data scientists, co-develop and maintain pipelines for data exploration, differential expression, cell‑state/pathway perturbations, ligand–receptor interactions, target prioritization, and tissue selectivity/safety assessments.
• Ensure data quality, documentation, and scientific rigor in all computational workflows.
   

Insight Generation & Cross‑Functional Collaboration

• Synthesize complex analyses into clear biological narratives and concise decision‑ready recommendations.
• Partner with disease biologists to contextualize findings within disease mechanisms.
• Deliver outputs such as validation evidence summaries, mechanistic visualizations, pathway biomarkers and go/no‑go recommendations.
   

Communication & Scientific Rigor

• Communicate analytical findings clearly to multidisciplinary teams and scientific leadership on a regular basis.
• Uphold high standards for data integrity, transparent reporting, and reproducibility.
• Support collaborative and efficient ways of working by sharing best practices, aligning workflows with partners, and contributing to a strong data‑driven discovery culture.

Profile

Essential

• Ph.D. with a strong and proven background in Immunology, Computational Biology and Bioinformatics . Experience in an industrial setting or with regular industry interaction is a plus.
• Strong track record analyzing biological datasets (bulk RNA seq, scRNA seq, proteomics, immunomics).
• Solid understanding of immunology or inflammatory biology, including immune cell populations and pathways. Experience in working in autoimmune or immune‑mediated diseases is of substantial added value.
• Ability to work effectively with data scientists; familiarity with R, Python, or standard data analysis environments is a plus, though not required for primary responsibilities.
• Excellent team player with demonstrated ability to partner with wet-lab and discovery scientist, strong communication and presentation skills and fluent in English, our working language.
   

Of strong added value

• Experience with omics data processing pipeline tools (e.g., nextflow and Domino), and cloud-based data platforms (e.g. Databricks or Snowflake); familiarity with data engineering patterns for analytics readiness.
• Experience with dashboarding solutions such as R/Shiny, Spotfire, or equivalent.

Offer

• A full time position in a successful, dynamic, rapidly growing biotech company;
• A competitive salary package accompanied by comprehensive benefits;
• Joining a team that provides access to a wide range of technologies, engaging in diverse daily tasks, and encouraging initiative-taking to contribute to the company's success;
• This role requires onsite presence 4 days/week in Zwijnaarde, supporting close collaboration with discovery scientists and fostering strong team dynamics.

Apply

Please upload your CV and a brief motivation letter. In your letter, we ask you to cover three points:

Why this role motivates you – concrete reasons, not generic statements.

Why you are a strong fit – highlight the most relevant skills and experiences.

What scientific achievement you are most proud of – and what it shows about your abilities, initiative, and impact.

Your application will be treated confidentially.

#LI-Onsite

At argenx, all applicants are welcomed in an inclusive environment. They will receive equal consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other applicable legally protected characteristics. argenx is proud to be an equal opportunity employer.

Before you submit your application, CV or any other personal details to us, please review our argenx Privacy Notice for Job Applicants to learn more about how argenx B.V. and its affiliates (“argenx”) will handle and protect your personal data. If you have any questions or you wish to exercise your privacy rights, please contact our Global Privacy Office by email at privacy@argenx.com.