Computational Research Scientist, Biomedical Engineering chez UT Southwestern Medical Center

%3Cp%3E%3Cstrong%3EData Scientist: Implementing interpretable Deep Learning %26amp; Foundation Models for Neuroimage and Biomedical Data Analysis%3C/strong%3E%3C/p%3E%3Cp%3E%3Cstrong%3EWHY UT SOUTHWESTERN?%3C/strong%3E%3Cbr%3EWith 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 %3Ca target=%22_blank%22 rel=%22noopener noreferrer%22 href=%22https://www.utsouthwestern.edu/newsroom/articles/year-2022/july-us-news-best-hospital.html%22%3EU.S. News %26amp; World Report%3C/a%3E, 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%27ll discover a culture of teamwork, professionalism, and a rewarding career!%26nbsp;%3Cbr%3E%3Cbr%3E%3Cstrong%3EJOB SUMMARY%3C/strong%3E%3Cbr%3ELeads the design and implementation of High-Performance Scientific Computing infrastructure. Performs and supports scientific research using technical knowledge of software, software development, complex databases, high-performance computing, and/or hardware in a complex computing environment. Performs scientific research using knowledge of formalisms and algorithms from mathematics, statistics, and/or computer science.%26nbsp;%3Cbr%3E%3Cbr%3EThe Deep Learning for Precision Health Lab (www.montillolab.org ), a part of the Biodata Engineering Program of the Biomedical Engineering department at the University of Texas Southwestern in Dallas, TX seeks a talented and motivated Data Scientist to support large-scale multimodal neuroimaging and biomedical data analysis initiatives and to support advanced AI. The successful candidate will play a key role in curating and analyzing multimodal datasets, preparing resources for foundation-model development, and supporting NIH-funded projects at the intersection of machine learning, medical image analysis, neuroscience, and oncology. This is a full-time, long-term staff scientist position focused on technical excellence, reproducible data management, and collaborative research in a dynamic academic environment. The successful candidate’s work will directly inform AI-driven discovery in neurological and oncologic diseases.%3C/p%3E%3Cp%3EOur lab’s focus is on developing the theory and application of deep learning (DL) and causal modeling to elucidate treatment mechanisms, and to guide prognosis and treatment decisions with applications in neurological disorders and cancer therapy. To maximize AI’s efficacy for biomedicine we develop new methods delivering: (1) trustworthy AI, (2) multimodal data fusion, (3) causal analysis, (4) and sample efficiency. We then apply these methods in (5) biomedical and neuroscience applications%3C/p%3E%3Cp%3EThe successful applicant will contribute by learning to (a) curate and prepare data, (b) apply advanced ML-based causal analysis to quantify mechanistic relationships in experimental data, (c) constructing reinforcement learning approaches to guide dynamic therapies, and (d) assisting in foundation model development and downstream tailoring in biomedical projects.%3C/p%3E%3Cp%3EWith cutting-edge computational infrastructure, access to leading neurology, neuroscience, and cancer experts, and an unparalleled trove of high dimensional imaging and multi-omic data, our machine learning lab is poised for success in these research endeavors.%3C/p%3E%3Cp%3EPrimary responsibilities include: curate and manage large neuroimaging %26amp; bioimaging datasets that include structural, diffusion, and functional MRI, dynamic PET, EEG, fluorescence microscopy, and multi-omic or clinical data drawn from NIH-supported consortia; develop and maintain automated pipelines for data quality control, and reproducibility; write scripts to characterize dataset structure, imaging quality, and subject longitudinal counts; identify synergies across major repositories to enable integrated AI model training; search public resources for complementary data; and, support preparation of tables, figures, and analyses for grant proposals and publications.%3C/p%3E%3Cp%3EOther responsibilities include: clean and prepare datasets for downstream ML and deep-learning workflows; configure and run existing foundation or large-scale deep learning models for benchmarking; and, contribute to manuscript writing and code documentation.%3C/p%3E%3Cp%3EPreferred Qualifications:%3C/p%3E%3Cul%3E%3Cli%3ECandidates must have existing mastery of one or more mainstream DL frameworks (e.g., PyTorch, TensorFlow) and be able to explain intricacies of the DL models they have constructed.%3Cbr%3E%26nbsp;%3C/li%3E%3Cli%3ECandidates must have mastery of Python programming and Linux/Bash scripting.%3Cbr%3E%26nbsp;%3C/li%3E%3Cli%3EExperience running and managing batch jobs on SLURM or similar HPC systems.%3Cbr%3E%26nbsp;%3C/li%3E%3Cli%3EDemonstrated problem-solving capability and ability to learn new technical concepts quickly.%3Cbr%3E%26nbsp;%3C/li%3E%3Cli%3EHighly motivated, detail-oriented, and collaborative; thrives in a multidisciplinary team.%3Cbr%3E%26nbsp;%3C/li%3E%3Cli%3ECandidates must have extensive neuroimaging and biomedical image analysis experience.%3Cbr%3E%26nbsp;%3C/li%3E%3Cli%3EFamiliarity with neuroimaging data formats (DICOM, NIfTI, HDF5, MP4, EEG) and web-scraping or data-discovery scripting.%3Cbr%3E%26nbsp;%3C/li%3E%3Cli%3EM.S. or Ph.D. in Computer Science, Biomedical Engineering, Electrical, Physics, Statistics or a closely related computational field.%3Cbr%3E%26nbsp;%3C/li%3E%3Cli%3EStrong foundation in data science, scientific computing, and version control (Git).%3Cbr%3E%26nbsp;%3C/li%3E%3Cli%3EExperience running and managing batch jobs on SLURM or similar HPC systems%3C/li%3E%3C/ul%3E%3Cp%3E%3Cstrong%3EBENEFITS%3C/strong%3E%3Cbr%3EUT 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:%3C/p%3E%3Cul%3E%3Cli%3EPPO medical plan, available day one at no cost for full-time employee-only coverage%3C/li%3E%3Cli%3E100% coverage for preventive healthcare-no copay%3C/li%3E%3Cli%3EPaid Time Off, available day one%3C/li%3E%3Cli%3ERetirement Programs through the Teacher Retirement System of Texas (TRS)%3C/li%3E%3Cli%3EPaid Parental Leave Benefit%3C/li%3E%3Cli%3EWellness programs%3C/li%3E%3Cli%3ETuition Reimbursement%3C/li%3E%3Cli%3EPublic Service Loan Forgiveness (PSLF) Qualified Employer%3C/li%3E%3Cli%3E%3Ca target=%22_blank%22 rel=%22noopener noreferrer%22 href=%22http://jobs.utsouthwestern.edu/benefits/#top%22%3ELearn more about these and other UTSW employee benefits!%3C/a%3E%3C/li%3E%3C/ul%3E%3Cp%3E%3Cstrong%3EEXPERIENCE AND EDUCATION%3C/strong%3E%3Cbr%3E%3Cbr%3E%3Cstrong%3ERequired%3C/strong%3E%3C/p%3E%3Cul%3E%3Cli%3E%3Cstrong%3EEducation%3C/strong%3E%3Cbr%3EPhD In Computer Science, Electrical Engineering, or related field or%26nbsp;%3Cbr%3EMaster%27s Degree In Computer Science, Electrical Engineering, or related field%26nbsp;%3Cbr%3E%26nbsp;%3C/li%3E%3C/ul%3E%3Cul%3E%3Cli%3E%3Cp%3E%3Cstrong%3EExperience%3C/strong%3E%3Cbr%3E2 years Experience in software development/engineering and/or HPC systems management with PhD. or%26nbsp;%3Cbr%3E4 years Experience in software development/engineering and/or HPC systems management with Master%27s Degree.%26nbsp;%3Cbr%3E%26nbsp;%3C/p%3E%3Cp%3E%3Cstrong%3EJOB DUTIES%3C/strong%3E%3C/p%3E%3C/li%3E%3Cli%3EDesigns and implements the high-performance scientific computing infrastructure for for large, multi-institution projects, including software applications, workflows, servers, databases, long-term and short-term storage solutions, and cloud services.%3C/li%3E%3Cli%3EServes as a domain expert for research and industry collaborations on biomedical computational methods, algorithms and platforms. Subject matter expert in multiple areas of computing technology.%3C/li%3E%3Cli%3ELeads and develops proof-of-concepts (PoCs) for solutions applied to biomedical and clinical science use-cases by working closely with industry collaborators.%3C/li%3E%3Cli%3EDesigns, develops, implements and optimizes algorithms and scientific workflows for high dimensional data in biomedical and clinical sciences.%3C/li%3E%3Cli%3EDevelops software and methods to explore, analyze and visualize biological data sets.%3C/li%3E%3Cli%3EDemonstrates and craft applications of cutting-edge visual computing technologies and connect them to core infrastructure.%3C/li%3E%3Cli%3EReport research results in journal articles, conference papers, and technical manuals.%3C/li%3E%3Cli%3EMentor and train staff, postdoctoral fellows, and graduate students.%3C/li%3E%3Cli%3ESupports faculty and students in adapting computational strategies to leverage high-performance computing, working with a range of systems and technologies such as compute cluster, parallel file systems, high speed interconnects, GPU-based computing and data servers.%3C/li%3E%3Cli%3EPerforms other duties as needed%3C/li%3E%3C/ul%3E%3Cp%3E%3Cstrong%3ESECURITY AND EEO STATEMENT%3C/strong%3E%3Cbr%3E%3Cbr%3E%3Cstrong%3ESecurity%3C/strong%3E%3Cbr%3EThis position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 117.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.%3Cbr%3E%3Cbr%3E%3Cstrong%3EEEO%3C/strong%3E%3Cbr%3EUT 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.%3Cbr%3E%26nbsp;%3C/p%3E Postuler maintenant