Advanced Integrated Wet Lab and Computational Researcher, Surgery

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.

Job Duties

• Translational and Predictive Modeling
• Mechanistic Discovery Support
• Scientific Leadership and Publication
• Laboratory Computational Infrastructure
• Additional Responsibilities

BENEFITS

• 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.
• 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.
• 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.
• Generate publication-quality figures and high-dimensional data visualizations.
• Lead computational sections of manuscripts, grants, and presentations.
• Contribute to NIH grant preparation, including data analysis plans and preliminary data generation.
• Maintain and optimize laboratory computational pipelines and data management strategies.
• Advise trainees and laboratory personnel on statistical design and data interpretation.
• Ensure best practices in reproducibility, version control, and data sharing compliance.
• Avoid performing duties not assigned to this position.

EXPERIENCE AND EDUCATION

• Required Education: PhD in Computer Science or a related field of biological science, with thesis work in bioinformatics and computational biology or Master's Degree in Computer Science or a related field of biological science or Bachelor's Degree in Computer Science or a related field of biological science.
• Experience: 2 years of related research experience in bioinformatics and computational biology with Master's Degree or 4 years of related research experience in bioinformatics and computational biology with Bachelor's Degree.

SECURITY AND EEO STATEMENT

• This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.
• UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.