Join us as we continue advancing science and healthcare. The Department of Genetics at Washington University School of Medicine is one of the highest ranking in the world and we invite you to explore exciting career opportunities within our prestigious team.
Job Openings
Postdoctoral Research Associate
The laboratories of Dr. Jeff Milbrandt and Dr. Rob Mitra
The laboratories of Dr. Jeff Milbrandt and Dr. Rob Mitra invite highly motivated candidates to apply for positions as joint postdoctoral fellows in the Department of Genetics and McDonnell Genome Institute at WashU in St. Louis. These fellows will develop research programs in Personalized Medicine aimed at revealing the pathogenic mechanisms of disease-associated variants via monitoring phenotypic changes of genetically perturbed iPSC-derived neurons and glia.
Staff Scientist (Computational – Genomics) – Genetics
Cremins Lab
The Cremins lab works at the spatial biology-technology interface to understand chromatin-to-synapse communication during neural circuit activation in the mammalian brain. We aim to understand how chromatin works through long-range physical folding mechanisms to encode neuronal specification and long-term synaptic plasticity in healthy and diseased neural circuits. We pursue a multi-disciplinary approach integrating data across biological scales in the brain, including molecular Chromosome-Conformation-Capture sequencing technologies, single-cell imaging, optogenetics, genome engineering, induced pluripotent stem cell differentiation to neurons/organoids, and in vitro and in vivo electrophysiological measurements.
Senior Scientist (Computational) – Genetics
Cremins lab
The Cremins lab works at the spatial biology-technology interface to understand chromatin-to-synapse communication during neural circuit activation in the mammalian brain. We aim to understand how chromatin works through long-range physical folding mechanisms to encode neuronal specification and long-term synaptic plasticity in healthy and diseased neural circuits. We pursue a multi-disciplinary approach integrating data across biological scales in the brain, including molecular Chromosome-Conformation-Capture sequencing technologies, single-cell imaging, optogenetics, genome engineering, induced pluripotent stem cell differentiation to neurons/organoids, and in vitro and in vivo electrophysiological measurements.