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 SummaryPerform 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 Duties2. Translational and Predictive Modeling3. Mechanistic Discovery Support4. Scientific Leadership and Publication5. Laboratory Computational Infrastructure6. Additional ResponsibilitiesBENEFITS Multi-Omic Data Analysis and IntegrationDesign 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.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.BenefitsUT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:PPO medical plan, available day one at no cost for full-time employee-only coverage100% coverage for preventive healthcare-no copayPaid Time Off, available day oneRetirement Programs through the Teacher Retirement System of Texas (TRS)Paid Parental Leave BenefitWellness programsTuition ReimbursementPublic Service Loan Forgiveness (PSLF) Qualified EmployerLearn more about these and other UTSW employee benefits!EXPERIENCE AND EDUCATIONRequiredEducation 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 scienceExperience 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.JOB DUTIESManage 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.SECURITY AND EEO STATEMENTSecurityThis position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information.EEOUT 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.