Biomarker Biostatistics Lead
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. At argenx, we’re all in on our innovation mission to transform care for people living with severe autoimmune diseases. We speak the language of science, put patients first, and value high‑impact over hierarchy. If you’re energized by bold ideas and collaborative problem‑solving—patients are waiting. The opportunity At argenx, biomarkers are a key driver of how we design trials, make decisions, and bring precision therapies to patients. As a Biomarker Biostatistics Lead, you will shape and drive the strategic use of biomarkers across the drug development lifecycle—from early translational research through late-phase clinical development and beyond. You will partner cross-functionally to ensure that biomarker data is analysed and actively informs program decisions, de-risks development, and strengthens our clinical and regulatory strategies.What you’ll doPartner in shaping biomarker strategies from a quantitative perspective, ensuring that biomarker proposals are supported by robust, fit for purpose statistical approaches aligned with key program questions and decision points across development.Translate scientific and clinical questions into decision relevant quantitative approaches, driving the identification, execution, interpretation, and optimization of biomarker analyses to support the assessment of diagnostic, prognostic, pharmacodynamic, and predictive value of biomarkers in a clinical and translational context.Act as a strategic partner to Clinical, Biomarker, and Translational teams, influencing study design, biomarker selection, and evidence generation approaches early and throughout development.Drive the integration of biomarker and clinical data, enabling cross-study learning, reverse translation, and program-level insights.Ensure that biomarker analyses are fit-for-purpose, balancing scientific exploration with clinical and regulatory relevance (i.e. “measure what matters”).Guide the evolution from exploratory insight to actionable evidence, supporting biomarker qualification and readiness for clinical and regulatory use where applicable.Promote reproducibility and robustness, ensuring analyses are transparent, traceable, and aligned with ALCOA++ and regulatory expectations....