Positions
Postdoctoral Research Associate
Laboratory of Dr. Jeff Milbrandt
We invite highly motivated candidates to apply for positions as postdoctoral fellows in the laboratory of Dr. Jeff Milbrandt in the Department of Genetics at Washington University in St. Louis.
Our primary goal is to unravel the mechanism of axon degeneration and its role in neurodegenerative disease. Many of our projects are pursued collaboratively with the Aaron DiAntonio lab and focus on how defects in NAD homeostasis alter disease progression in peripheral neuropathy, ALS and retinal degenerative disorders. One set of studies is aimed at determining how the NADase activity of the TIR domain protein SARM1 is regulated and how its activity influences downstream signaling pathways that control axon maintenance. Another area of interest focuses on motor neuron abnormalities that occur in ALS and in peripheral neuropathy.
Research Technician II
Mitra Lab
Join our efforts to advance drug discovery and help address rising healthcare costs. For 60 years, drug development costs have doubled roughly every nine years—a trend known as Eroom's Law. These rising costs are a major problem for the industry. The Mitra Lab is developing innovative technologies to counter this challenge by improving target identification and accelerating small-molecule discovery.
Senior Scientist
Cremins Lab
The Senior Scientist in the Cremins Lab will work with a dynamic team to conduct research in the area of the generation and analysis of new multimodal imaging data for mapping the neural connectome at synapse resolution using RNA barcodes.
Staff Scientist (Computational – Genomics)
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.