Computational Biologist - Multi-Omic Translational Research

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 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. 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. 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. 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 analysis plans and preliminary data generation. Laboratory Computational Infrastructure 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. Additional Responsibilities Assist PI in strategic planning of computational approaches across multiple funded projects. Mentor graduate students, postdoctoral fellows, and research staff in bioinformatics methodologies. Perform other duties as assigned in support of laboratory research goals. Manage computer hardware and software programming and maintenance for one or more research laboratories. Ensure existing systems meet the continuing needs of the labs and/or recommend and test new systems as necessary. Perform or direct others to perform complex data analysis related to specialized research methodologies and results. Manage assigned research projects with minimal input from PI. Develop and/or modify software to support new and ongoing research projects. Resolve hardware, software, and network issues in support of the lab. Oversee the development and maintenance of complex databases to support new and ongoing research projects. Prepare research reports for presentation, and assist with preparation of manuscripts for publication. May specialize in bioinformatics, software development, network administration, or hardware/software maintenance. Perform other duties as assigned. Benefits PPO medical plan, available day one at no cost for full‑time employee‑only coverage 100% coverage for preventive healthcare – no copay Paid Time Off, available day one Retirement Programs through the Teacher Retirement System of Texas (TRS) Paid Parental Leave Benefit Wellness programs Tuition Reimbursement Public Service Loan Forgiveness (PSLF) Qualified Employer Required Experience and Education 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. Location and Scheduling Primary Location: Texas‑Dallas‑5323 Harry Hines Blvd Work Locations: 5323 Harry Hines Blvd Job: Research & Laboratory Organization: 429026 – SY‑Lab Levi Schedule: Full‑time Shift: Day Job Employee Status: Regular Job Type: Standard Job Posting: Mar 17, 2026, 2:25:25 AM #J-18808-Ljbffr UT Southwestern Medical Center