Scientist Computational Structural Biology

<p><i>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.</i></p><p></p><p><i>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. </i></p><p></p><p></p><p></p><p>This role should strengthen our Discovery and Preclinical teams by combining structural biology, computational tooling, and AI/ML assisted feature predictions to accelerate and improve our antibody development. With a primary focus on antibody engineering, this person will deliver structural insights, implement and configure computational tools, and contribute to predictive developability workflows.</p><p></p><p><b>This position is based at our facility in Zwijnaarde, Belgium, and expects on-site presence at least 4 days a week. </b></p><p></p><p><b>Key responsibilities</b></p><p>Structural Computational Biology Support</p><ul><li>Identify, evaluate, and implement computational structural biology tools with the potential to facilitate antibody engineering efforts.</li><li>Interpret structural data and advise on methodology improvements.</li><li>Support wet‑lab colleagues with interpretation of structural predictions.</li></ul><p></p><p>Developability &amp; AI Integration</p><ul><li>Extract and prepare structural features for AI/ML developability models.</li><li>Benchmark and contribute to algorithms for predicting biophysical properties.</li><li>Build curated datasets integrating structural, sequence, and assay-derived attributes.</li><li>Keep track of and, if applicable, implement new developments and tools regarding structure-based antibody engineering and therapeutic antibody developability predictions.</li></ul><p></p><p>Cross‑Functional Collaboration</p><ul><li>Provide training and workflow guidance for structural tools.</li><li>Collaborate with wet-lab scientists to validate computational predictions experimentally.</li><li>Communicate scientific results to diverse stakeholders, including project leads.</li></ul><p></p><p><b>Competencies</b><br />Core Competencies:</p><ul><li>Scientific problem-solving: generate hypotheses from structural data and select the appropriate computational approaches. Critically evaluate the outcome and assess how this impacts the research question.</li><li>Innovation &amp; algorithm scouting: identify, benchmark, and evaluate new structural and biophysical prediction tools.</li><li>Collaboration: work effectively across wet‑lab, computational, and AI‑focused teams.</li><li>Communication: translate complex structural predictions into clear, actionable insights.</li></ul><p>Technical Competencies:</p><ul><li>Protein structure prediction and design (e.g., AlphaFold2, Boltz2 and similar, Rosetta), docking and interface analysis. Experience with molecular dynamics simulations is a plus.</li><li>Strong Python skills and experience with reproducible workflows. Experience with version control (Git), testing, and collaborative development practices for scientific code.</li><li>Familiar with FAIR data principles and computational infrastructure optimization.</li></ul><p></p><p><b>Profile</b></p><ul><li>PhD in Structural Biology, Computational Biology, Biophysics, or related field.</li><li>Strong background in structural modelling and analysis. Relevant experience with antibodies is a strong added value.</li><li>Experience integrating computational predictions with wet‑lab validation.</li><li>Programming proficiency (Python), workflow automation experience and hands-on experience with containerization technologies (Docker, Podman).</li><li>Familiarity with AI and machine learning concepts as applied to biological data, knowledge about developability challenges in biotherapeutics.</li><li>Ability to work independently and collaboratively in a dynamic project-driven environment, with excellent communication skills and a proactive mindset.</li><li>A results-driven approach, motivated by the opportunity to make a tangible impact on the discovery and development of novel therapeutics, and a passion for seeing scientific concepts translated into real-world applications.</li><li>Proactive, curious, and eager to bridge computation and experimentation.</li><li>Excellent written and verbal communication. Ability to translate complex structural biology concepts for non-expert audiences.</li><li>Thrives in fast‑paced, collaborative environments.</li></ul><p></p><p><b>What we offer</b></p><ul><li>The opportunity to establish a new role within the organization, contributing to shaping its future direction.</li><li>A competitive salary package with extensive benefits.</li><li>Working in a human-sized, dynamic, rapidly growing biotech company, providing an engaging work environment.</li></ul><p></p><p><b>How to apply</b><br />Please upload your CV and a brief motivation letter.  In your letter, we ask you to cover three points:</p><ul><li><b>Why this role motivates you</b> – concrete reasons, not generic statements.</li><li><b>Why you are a strong fit</b> – highlight the most relevant skills and experiences.</li><li><b>What scientific achievement you are most proud of</b> – and what it shows about your abilities, initiative, and impact.</li></ul><p></p><p><i>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.</i></p><p></p><p><i>Before you submit your application, CV or any other personal details to us, please review our <a href="http://careers.argenx.com/privacy-policy" target="_blank">argenx Privacy Notice for Job Applicants</a> </i><i>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 </i><a href="mailto:privacy&#64;argenx.com" target="_blank"><i>privacy&#64;argenx.com</i></a><i>.</i></p><div></div><p></p>