Computational Postdoc: Single-Cell Multi-Omics & AI Imaging

University of North Carolina at Chapel Hill; Chapel Hill (NC); On-site; USD 55,000 - 75,000; Full time

Job summary

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.

Qualifications

• Ph.D. in a quantitative field related to biology, computation, or statistics.
• Strong programming in Python and/or R with substantial data experience.
• Experience analyzing single-cell or high‑dimensional biological data.
• Excellent written and oral communication skills.

Responsibilities

• Develop computational frameworks for integrating multimodal single-cell data.
• Connect sequencing measurements with imaging‑derived features in models.
• Collaborate across interdisciplinary teams to validate methods.
• Contribute to AI imaging tools and cytogenetic analysis workflows.

Skills

Python

R

high‑dimensional data analysis

statistical reasoning

independent & collaborative work

communication skills

Education

Ph.D. in computational biology / bioinformatics / related field

Tools

Seurat

Scanpy

scVI

ArchR

Signac

Cell Ranger

Harmony

LIGER

MOFA

CellProfiler

napari

ImageJ/Fiji

scikit-image

PyTorch

TensorFlow

Job description

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.