The Machine Learning for Integrative Genomics team, led by Laura Cantini, is recruiting a permanent research engineer. The successful candidate will carry out single-cell data analysis in the context of collaborations with wet-lab biologists, both on campus and with external partners. The role will primarily involve applying tools developed within the team, as well as standard single-cell analysis methods. In addition, the candidate will be responsible for the long-term maintenance of the team’s GitHub repositories and for addressing issues related to the tools developed by the team. If collaborations allow, time and support for an additional personal research project aligned with the team’s research will be encouraged.
PhD in computer science, computational biology, bioinformatics or similar.