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University of North Carolina at Chapel Hill

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Computational Postdoctoral Researcher in Single-Cell Multi-Omics and Imaging Integration The University of North Carolina at Chapel Hill in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time temporary postdoctoral scholar appointment for an estimated 12 months, with a hiring range of $47,476–$63,480. UNC-Chapel Hill offers comprehensive medical and vision coverage, paid leave, and postdoctoral benefits and services. The position is part of a funded research program.

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Country

United States

University

University of North Carolina at Chapel Hill

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Keywords

Computer Science
Biomedical Engineering
Biology
Computational Biology
Systems Biology
Single-cell Analysis
Statistics
Bioinformatic
ML

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About this position

The Brunk Lab at the University of North Carolina at Chapel Hill is seeking a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data in 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 researcher will build computational frameworks linking sequencing-based measurements with imaging-derived single-cell features, including multiplexed protein imaging and AI-assisted cytogenetic image analysis.

The funded research program includes single-cell multi-omics sequencing, 4i protein imaging, CITE-seq validation, and AI-based cytogenetic analysis. Relevant interests include computational biology, bioinformatics, systems biology, genomics, machine learning, imaging genomics, and quantitative biology.

Applicants must have a Ph.D. in a relevant computational or quantitative field and strong Python and/or R programming skills. Experience with high-dimensional biological data, especially single-cell sequencing, plus strong statistical reasoning and communication skills is required. Experience with multi-omics integration, microscopy or spatial/protein imaging, machine learning, and tools such as Seurat, Scanpy, scVI, ArchR, Signac, Cell Ranger, MOFA, CellProfiler, napari, ImageJ/Fiji, Cellpose, PyTorch, or TensorFlow is preferred.

This is a full-time, 12-month postdoctoral scholar appointment in Chapel Hill, North Carolina, with a hiring range of $47,476–$63,480. Benefits include comprehensive medical and vision coverage, paid leave, and professional development support. Applications require a CV or resume; a cover letter and list of references are optional.

Funding details

Full-time temporary postdoctoral scholar appointment for an estimated 12 months, with a hiring range of $47,476–$63,480. UNC-Chapel Hill offers comprehensive medical and vision coverage, paid leave, and postdoctoral benefits and services. The position is part of a funded research program.

What's required

Applicants must hold a Ph.D. in computational biology, bioinformatics, biostatistics, computer science, genomics, systems biology, biomedical engineering, quantitative biology, or a related field. Required qualifications include strong programming skills in Python and/or R, experience analyzing high-dimensional biological data—especially single-cell sequencing data—strong statistical and quantitative reasoning, the ability to work independently and collaboratively in an interdisciplinary environment, and excellent written and oral communication skills. Preferred experience includes single-cell RNA-seq, ATAC-seq, CITE-seq, single-cell DNA copy number, multi-omics integration, microscopy or multiplexed imaging analysis, machine learning, latent variable modeling, variational autoencoders, optimal transport, graph-based integration, and relevant computational or image-analysis tools.

How to apply

Apply through the UNC-Chapel Hill PeopleAdmin posting using the direct application link. Submit a curriculum vitae or resume; a cover letter and list of references are optional documents.

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