Postdoctoral Research Associate - Quantitative Microscopy and Live-Cell Chromatin Imaging
On-siteMemphis, Tennessee, United States
Job Summary
Develop biosensor platforms and imaging strategies to visualize chromatin-state dynamics in live neurons using lattice light-sheet, super-resolution, and single-molecule microscopy. Optimize probe performance, acquisition protocols, and quantitative analysis pipelines for epigenetic modifications and nuclear organization during neuronal differentiation. Design perturbation workflows and computational tools to track gene-regulatory states in developing circuits, contributing to first-author publications and high-risk experiments. Collaborate with cell biologists, biophysicists, and data scientists to build new experimental frameworks that make previously invisible chromatin transitions mechanistically testable.
Required Qualifications
- PhD in cell biology, biophysics, gene regulation, neuroscience or related discipline
- Prior experience in live-cell imaging
- Prior experience in advanced microscopy
- Prior experience in super-resolution microscopy
- Prior experience in single-molecule imaging
- Prior experience in lattice light-sheet microscopy
- Prior experience in imaging probe development
- Interest in applying imaging-based approaches to chromatin organization
- Interest in applying imaging-based approaches to nuclear dynamics
- Interest in applying imaging-based approaches to epigenetic regulation
- Interest in applying imaging-based approaches to neuronal differentiation
- Familiarity with quantitative image analysis
- Experience with Python
- Experience with MATLAB
- Experience with R
- Experience with Fiji/ImageJ
- Experience with Imaris
- Experience with related platforms
- Strong record of peer-reviewed publications
Desired Qualifications
- Experience with segmentation
- Experience with tracking
- Experience with registration
- Experience with time-series analysis
- Experience with automated image-processing workflows
- Experience with fluorescent probes
- Experience with biosensors
- Experience with HaloTag/SNAP-tag systems
- Experience with protein engineering
- Experience with live-cell assay development
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