Lead Computational Omics Scientist - Single-Cell & Spatial

The University of Texas at Dallas; Richardson (TX); On-site; USD 65,000 - 85,000; Full time

Benefits offered by this job

BCBS PPO Medical Insurance Options

TRS Retirement Plan

Paid time off

Job summary

The University of Texas at Dallas is offering a postdoctoral position in the Chen Cao laboratory within the Department of Bioengineering. The role focuses on computational analysis of high-dimensional single-cell and spatial omics data to understand cancer microenvironment biology and developmental genomics.

The successful candidate will develop questions from data, interpret results critically, and drive analyses from raw data to publication, with strong emphasis on R/Python workflows and

Qualifications

• Ph.D. in bioinformatics, computational biology, genomics, systems biology, quantitative biology, bioengineering, or related discipline.
• Strong proficiency in R and/or Python; experience analyzing single-cell RNA-seq data required.
• Experience with single-cell ATAC-seq, multi-omics, spatial transcriptomics, imaging-based spatial assays, or allele-resolved genomics is highly desirable.
• Experience with Linux/HPC environments and reproducible workflows.
• Ability to translate computational results into biological interpretations and drive a research project toward publication.

Responsibilities

• Lead computational analysis of single-cell RNA-seq, single-cell ATAC-seq, multi-omic and spatial transcriptomic/imaging datasets.
• Develop, benchmark and maintain reproducible analysis workflows in R and/or Python for quality control, normalization, integration, clustering, annotation, differential analysis and visualization.
• Perform advanced analyses such as cell-state analysis, trajectory or lineage analysis, gene regulatory network inference, cell-cell communication analysis, spatial neighborhood analysis, and multimodal integration.
• Collaborate with experimental researchers to validate findings and translate computational results into biological hypotheses.
• Prepare publication-quality figures and contribute to manuscript preparation and proposal development.

Skills

R

Python

Education

Ph.D. in related field

Tools

Linux

HPC environments

Job description

The University of Texas at Dallas is offering a postdoctoral position in the Chen Cao laboratory within the Department of Bioengineering. The role focuses on computational analysis of high-dimensional single-cell and spatial omics data to understand cancer microenvironment biology and developmental genomics.

The successful candidate will develop questions from data, interpret results critically, and drive analyses from raw data to publication, with strong emphasis on R/Python workflows and