Advanced Integrated Wet Lab and Computational Researcher, Surgery

WHY UT SOUTHWESTERN?
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals.

Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you'll discover a culture of teamwork, professionalism, and a rewarding career!

JOB SUMMARY
Perform professional work in support of scientific research using technical knowledge of software, software development, networking, and/or hardware in a complex computing environment. Subject matter expert in multiple areas of computing technology, and specific knowledge of molecular biology and genetics. Work collaboratively with Principal Investigator ("PI") to determine the most suitable computational methods and tools to analyze large-scale biological data sets.

Prepare reports for presentation or publication. Responsible for assisting PI in meeting the system needs for multiple research projects and/or labs.

Perform advanced, independent computational and systems biology research in support of high-impact translational and mechanistic studies in musculoskeletal biology, regeneration, tumor microenvironment biology, and aberrant mesenchymal cell fate.

Serve as a computational subject matter expert in multi-omic data integration, including single-cell RNA sequencing (scRNA-seq), single-nucleus ATAC-seq, spatial transcriptomics, CyTOF, bulk RNA-seq, proteomics, and imaging-derived quantitative datasets. Apply expertise in software development, high-performance computing, and reproducible bioinformatics pipelines within a complex research computing environment. Collaborate directly with the Principal Investigator (PI) and multidisciplinary teams to design computational strategies that interrogate cellular heterogeneity, lineage trajectories, immune-stromal interactions, extracellular matrix remodeling, mechanotransductive signaling, and neurovascular regulation of tissue regeneration and tumor progression.

Lead computational components of peer-reviewed publications, develop predictive models, and generate high-dimensional datasets for presentation in high-impact journals and national/international scientific forums. Provide strategic computational oversight across multiple funded research projects within the laboratory.

JOB DUTIES

1. Multi-Omic Data Analysis and Integration

• Design and implement analysis pipelines for scRNA-seq, snATAC-seq, spatial transcriptomics, bulk RNA-seq, CyTOF, and proteomics datasets.
• Perform trajectory inference, cell-cell communication modeling, ligand-receptor interaction analysis, gene regulatory network reconstruction, and pathway enrichment analyses.
• Integrate transcriptomic, epigenomic, and imaging-derived data to define mechanistic signaling axes.
• Develop reproducible workflows using R, Python, and high-performance computing environments.

2. Translational and Predictive Modeling

• Develop machine learning models for disease prediction and therapeutic response.
• Identify biomarkers, therapeutic targets, and signaling networks in regenerative and oncologic contexts.
• Analyze longitudinal and multimodal datasets to model dynamic cellular state transitions.

3. Mechanistic Discovery Support

• Collaborate with experimental scientists to design experiments informed by computational hypotheses.
• Perform differential expression, chromatin accessibility, and integrative multi-omic analyses.
• Quantitatively analyze imaging datasets and integrate findings with molecular data.

4. Scientific Leadership and Publication

• Generate publication-quality figures and high-dimensional data visualizations.
• Lead computational sections of manuscripts, grants, and presentations.
• Contribute to NIH grant preparation, including data…