Industrial PhD Student in Data-Driven Modeling of Human Biology

Industrial PhD Student in Data-Driven Modeling of Human Biology Join ABC Labs and KTH as an Industrial PhD Student to build data-driven models of human biology with multimodal health data—interdisciplinary impact, real-world healthcare. About the role We are looking for an Industrial PhD Student to join an ambitious project focused on building foundational models of human biology using large-scale, multimodal data. In this role, you will work at the intersection of machine learning and life sciences, developing next‑generation models that improve our understanding of human biology and enable more proactive, personalized healthcare. As an Industrial PhD Student, you will be employed by ABC Labs while pursuing your PhD at KTH Royal Institute of Technology, giving you a unique opportunity to combine academic research with real-world impact. Project overview The project aims to develop large-scale self-supervised models trained on rich, longitudinal health data, including medical records and other multimodal datasets. You will work with one of the most comprehensive multimodal datasets available, enabling research at the frontier of data-driven biology. Develop and train large-scale machine learning models for biological data Work with multimodal and longitudinal health datasets Explore self-supervised and representation learning approaches Collaborate with domain experts in biology, medicine, and data science Contribute to advancing preventive and personalized healthcare The project is part of a collaboration between ABC Labs and SciLifeLab. As an Industrial PhD Student, you will be employed by ABC Labs and admitted as a PhD student at KTH, with Dr. Wei Ouyang (AICell Lab) as your academic supervisor. What we offer Access to unique longitudinal multimodal health data A highly interdisciplinary environment combining AI and life sciences Collaboration with experts in lab science, medicine, and machine learning Modern GPU compute infrastructure A chance to contribute to cutting‑edge research with real‑world impact Who you are Strong background in Machine Learning, with the ability to understand and extend current research Solid programming and engineering skills Comfortable working with modern development tools and practices Strong communication and collaboration skills Nice to have Background in bioinformatics or biology Experience working with biological or medical data Curiosity and willingness to learn are highly valued. About the opportunity Data‑driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. We invite you to join this unique program, empowering the next generation of data‑driven life scientists. For more information, please see Diversity & Inclusion We are committed to building a diverse and inclusive workplace. We welcome applications from all qualified candidates regardless of gender, gender identity or expression, age, disability, ethnicity, religion or belief, sexual orientation, or any other protected characteristic under EU or local law. #J-18808-Ljbffr SciLifeLab Group