The posting
Intern, Early Translational Data Science (Project: Bayesian Modelling of Preclinical Oncology Data) Beschrijving At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals' unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! We are posting several projects within this department, each with its own research focus, recruitment team, and selection process. Please take time to explore the available projects and apply to a maximum of two that best match your interests and skills. If you apply to two, include the project titles in order of preference in both motivation letters , with a brief explanation of your interest in each. This helps our teams understand your preferences throughout the separate selection processes! The Role Are you excited about the intersection of statistics and preclinical oncology, looking to make a meaningful impact on how efficacy data from rodent readouts are analyzed and reused across studies? Do you want to gain exposure to hierarchical and Bayesian modeling approaches applied to real, accumulated preclinical data? Keep on reading! We are seeking a highly motivated intern to join the Early Translationa...



