University Of Texas Southwestern Medical Cent (The
Location
Dallas, TX
Job Type
UTSW-Taleo-External
Specialty
Research & Laboratory
Posted
2026-09-09
Applications close
2026-10-11
Job ID
23767006
Description
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 SUMMARYWorks under broad direction to provide and oversee the analysis and development of algorithms and software for clinical and/or basic research problems. Oversees and participates in programs to impact data acquisition, management, and analysis in basic, translational, and clinical research, including clinical trials. Perform advanced professional work in support of biomedical and translational research using expertise in data science, biostatistics, computational biology, software development, and scientific visualization. Collaborate with the Principal Investigator, laboratory scientists, clinicians, and multidisciplinary partners to design rigorous analytic strategies; integrate complex biological, imaging, and clinical datasets; and deliver reproducible analyses, publication-quality figures, manuscripts, presentations, and grant materials.This position is designed for a senior data scientist who can independently lead the analytic components of multiple research programs from study design and data acquisition through quality control, modeling, biological interpretation, validation, and dissemination. The Data Scientist III will support mechanistic and translational studies of injury, fibrosis, regeneration, aberrant mesenchymal cell fate, wound healing, tumor biology, and therapeutic response. The role is primarily computational, with close collaboration with experimental and clinical teams to ensure that analyses are biologically grounded and directly responsive to clinically important questions.LEVI LABORATORY RESEARCH PROGRAMThe Levi Laboratory studies how immune, stromal, vascular, lymphatic, neural, epithelial, and mesenchymal cell populations interact after injury and in disease. The laboratory integrates transgenic and surgical animal models, human biospecimens, molecular and cellular biology, quantitative imaging, clinical data, and multiomic technologies to identify mechanisms, biomarkers, and therapies that promote faithful tissue repair.Traumatic heterotopic ossification and aberrant mesenchymal differentiation after burns, musculoskeletal trauma, surgery, and tendon injury.Fibrosis, wound healing, burn and scar biology, including inflammatory and epigenetic regulation of keratinocyte, fibroblast, immune, and progenitor-cell function.Tendon, muscle, bone, and soft-tissue repair, including mechanotransduction, extracellular matrix remodeling, and stem or progenitor-cell fate.Neurovascular and neuroimmune regulation of regeneration, tendinopathy, heterotopic ossification, pain, osteosarcoma, and adrenergic signaling.Lymphatic regulation of inflammation, tissue repair, and bone resorption, including VEGF-C or VEGF-D signaling and lymphatic endothelial-cell biology.Immunometabolism and obesity-related injury responses, including lipid metabolism, inflammatory signaling, and altered regenerative cell states.Circulating mesenchymal progenitor cells and liquid-biopsy approaches for early diagnosis, risk prediction, and treatment monitoring.Cancer biology and osteosarcoma, including tumor heterogeneity, tumor microenvironment interactions, angiogenesis, pain, drug response, and pulmonary metastasis.SPECIFIC JOB DUTIESLead the design of data-driven research strategies with the PI, clinical collaborators, and laboratory scientists, including outcome definition, sample selection, controls, replication, power considerations, data harmonization, batch mitigation, and validation plans.Independently analyze single-cell and bulk transcriptomic, epigenomic, spatial, proteomic, metabolomic, high-parameter cytometry, quantitative imaging, micro
CT, and clinical datasets from raw files through final biological and clinical interpretation.Perform and document quality control, normalization, batch correction, feature engineering, cell-type annotation, differential analysis, pathway enrichment, trajectory analysis, gene-regulatory network inference, cell-cell communication modeling, and cross-modality integration.Develop scalable image-analysis workflows for histology, immunofluorescence, multiplex imaging, confocal microscopy, whole-slide imaging, micro
CT, and three-dimensional tissue datasets, including segmentation, feature extraction, spatial quantification, and visualization.Integrate experimental data with clinical variables, longitudinal outcomes, public datasets, and large multiomic databases to identify biomarkers, mechanisms, therapeutic targets, and clinically meaningful patient subgroups.Develop, validate, and interpret statistical and machine-learning models for disease classification, early detection, risk prediction, treatment response, and biomarker prioritization using appropriate feature selection, cross-validation, calibration, sensitivity analyses, and external or biological validation.Build, document, test, and maintain reproducible analysis pipelines in R and Python using version control, workflow management, containerized environments, and high-performance or cloud computing resources.Establish and maintain laboratory standards for metadata, data dictionaries, sample tracking, file organization, quality metrics, code review, backup, controlled access, privacy, and FAIR data practices in compliance with institutional and sponsor requirements.Partner with experimental scientists to translate computational results into specific validation studies and to ensure that data collection, assay design, and experimental metadata support rigorous downstream analysis.Create clear, accurate, and publication-ready figures, dashboards, tables, and data narratives for manuscripts, grants, abstracts, presentations, progress reports, and institutional reviews.Lead computational and quantitative sections of manuscripts and grant applications, contribute to methods and results writing, maintain transparent analytic documentation, and support responses to scientific and peer review.Present findings at laboratory meetings and national or international scientific forums, communicate limitations and uncertainty clearly, and provide analytically sound recommendations to research teams.Mentor trainees and staff in study design, statistics, computational biology, reproducible research, scientific visualization, and responsible interpretation of complex data.Manage multiple concurrent projects, establish priorities and milestones, identify analytic risks early, and move work efficiently from exploratory analysis to validated, publication-quality completion.PREFERRED TECHNICAL EXPERTISEPh.D. in data science, biostatistics, bioinformatics, computational biology, computer science, biomedical engineering, or a related quantitative or biological field, with substantial experience applying advanced analytics to biomedical research.Master's degree in a related quantitative or biological field and significant relevant experience independently leading complex biomedical data analyses may be considered.Bachelor's degree in a related quantitative or biological field with extensive progressively responsible experience in biomedical data science may be considered.Advanced proficiency in R and Python for data analysis, statistics, visualization, and pipeline development, with experience using Lin
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