KTH Royal Institute of Technology invites applications for an Assistant Professor in Data-Driven Cell and Molecular Biology. The position focuses on developing machine learning and computational methods for analyzing cellular and molecular biology data, particularly omics datasets such as single-cell, spatial, mass spectrometry, and epigenetic data. The successful candidate will establish an internationally competitive research program, supervise PhD students and postdocs, and teach in bioinformatics, machine learning, and computational biology. The position is part of KTH’s tenure-track system with the possibility of promotion to Associate Professor.