Be part of our team We are seeking a motivated and analytically minded Computational Scientist to join our Biomarker Development team. The role is ideal for an early-career scientist with a PhD in Life Sciences, Biology, or a related field—for candidates with strong hands-on experience in data collection and analysis in biological, translational, or clinical research settings. You will contribute to the exploration and analysis of translational and clinical biomarker datasets, helping to uncover new insights that guide our biomarker strategies and drug development programs. Your mission Perform exploratory analyses of translational and clinical biomarker data from internal studies and public datasets. Apply statistical and computational methods to evaluate biological data. Visualize and interpret data to support biomarker hypotheses and scientific decision-making. Contribute to presentation materials and documentation for internal and external audiences. Support competitive landscape analyses and data-driven evaluations of biomarkers or disease mechanisms in close collaboration with cross-functional teams. Maintain an understanding of biological questions relevant to drug development in oncology. Your profile Must-Have Qualifications: PhD in Life Sciences, Biology, Computational Biology, Bioinformatics, or a related field. Strong experience in analyzing biomarker and/or biological datasets in a scientific and/or clinical context. Strong proficiency in R and Python for data analysis and visualization. Strong interest in data interpretation, visualization, and communication of results. Interest in exploring and interpreting biological data of varying scope and complexity. Good understanding of scientific principles relevant to biomarker discovery and development. Excellent collaboration and communication skills, with the ability to work independently and effectively in cross-functional, international teams. Curiosity, teamwork orientation, and enthusiasm for data-driven science. Nice-to-Have Qualifications : Experience with oncology, or clinical trial data preferred but not required. Experience with data integration, public biomarker databases, or open-source omics resources. Experience with additional data analysis tools or platforms. Exposure to regulatory or GxP environments. Why us? At Tubulis, curiosity and innovation drive us to transform cancer treatment. We are a fast-growing biotech where science meets passion—and where you have the chance to grow with us. Impact that matters : Contribute to breakthrough therapies. Global mindset : Work in an international, diverse team. Grow & thrive : Develop your career in a supportive, fast-moving environment. Innovation every day : Push boundaries with cutting-edge science. At Tubulis, your ideas matter, your growth matters—and together, we make a difference. About us Tubulis is a clinical stage biotech company that generates uniquely matched antibody-drug conjugates (ADCs) with superior biophysical properties that have demonstrated durable on-tumor delivery and long-lasting anti-tumor activity in preclinical models. We recently closed on a Series C fundraising round totaling €344M (US $401M). The development of novel, effective and safe therapies for the treatment of cancer is one of the main challenges for modern medicine. We want to drive this process forward. The main goal of Tubulis is to become a leading company in the field of targeted therapeutics and ADCs. With a strong team, our own technologies and innovative therapeutic concepts, we are ushering in a new era in the ongoing fight against cancer and share the vision of helping patients world-wide. Be part of a multidisciplinary and focused team, that works towards getting novel promising ADCs to patients with solid and hematological cancers.