Post-Doc Research Associate

UNC-Chapel Hill • Chapel Hill, NC

4d

About The Position

The Brunk Lab at UNC -Chapel Hill seeks a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data within controlled cell-line model systems. The project focuses on vertical integration of multimodal single-cell datasets, including single-cell DNA copy number, RNA expression, chromatin accessibility, protein abundance, protein localization, and cytogenetic imaging. The postdoctoral researcher will help build computational frameworks that connect sequencing-based measurements with imaging-derived single-cell features, including multiplexed protein imaging and AI-assisted cytogenetic image analysis. This position is central to a funded research program developing single-cell integration frameworks and AI imaging tools to understand how genome structure and molecular state coordinate across individual cells. The grant includes single-cell multi-omics sequencing, 4i protein imaging, CITE -seq validation, and AI-based cytogenetic analysis.

Requirements

• Strong programming skills in Python and/or R.
• Experience analyzing high-dimensional biological data, especially single-cell sequencing data.
• Strong statistical and quantitative reasoning skills.
• Ability to work independently and collaboratively in an interdisciplinary environment.
• Excellent written and oral communication skills.

Nice To Haves

• Single-cell RNA -seq, single-cell ATAC -seq, CITE -seq, single-cell DNA copy number, or multi-omics integration.
• Computational analysis of microscopy, multiplexed immunofluorescence, spatial/protein imaging, or image-derived single-cell phenotypes.
• Machine learning, latent variable modeling, variational autoencoders, optimal transport, graph-based integration, or related computational approaches.
• Experience with tools such as Seurat, Scanpy, scVI, ArchR, Signac, Cell Ranger, Cell Ranger ARC , Harmony, LIGER , MOFA , or related packages.
• Experience with image-analysis tools or libraries such as CellProfiler, napari, ImageJ/Fiji, scikit-image, Cellpose, PyTorch, TensorFlow, or similar.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level