Computational Research Scientist, Biomedical Engineering

Computational Research Scientist, Biomedical Engineering Join to apply for the Computational Research Scientist, Biomedical Engineering role at UT Southwestern Medical Center Job Summary Leads the design and implementation of High-Performance Scientific Computing infrastructure in a complex computing environment. Performs and supports scientific research using knowledge of software, databases, high-performance computing, and/or hardware. Primary Responsibilities Curate and manage large neuroimaging & bioimaging datasets—including 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. Other Responsibilities Clean and prepare datasets for downstream ML and deep‑learning workflows. Configure and run existing foundation or large‑scale deep learning models for benchmarking. Contribute to manuscript writing and code documentation. Preferred Qualifications Mastery of one or more mainstream DL frameworks (e.g., PyTorch, TensorFlow) and ability to explain intricacies of the DL models constructed. Mastery of Python programming and Linux/Bash scripting. Experience running and managing batch jobs on SLURM or similar HPC systems. Demonstrated problem‑solving capability and ability to learn new technical concepts quickly. Highly motivated, detail‑oriented, and collaborative; thrives in a multidisciplinary team. Extensive neuroimaging and biomedical image analysis experience. Familiarity with neuroimaging data formats (DICOM, NIfTI, HDF5, MP4, EEG) and web‑scraping or data‑discovery scripting. M.S. or Ph.D. in Computer Science, Biomedical Engineering, Electrical, Physics, Statistics or a closely related computational field. Strong foundation in data science, scientific computing, and version control (Git). 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 & Education Ph.D. in Computer Science, Electrical Engineering, or related field; or Master’s Degree in Computer Science, Electrical Engineering, or related field. 2 years experience in software development/engineering and/or HPC systems management with Ph.D.; or 4 years experience with Master’s Degree. Security and EEO Statement Security – This 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 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. EEO – 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 & Position Details Full‑time, Day Job – Regular employment – Standard job type Primary Location: 5323 Harry Hines Blvd, Dallas, TX Posted: Nov 4, 2025 #J-18808-Ljbffr