Biomedical engineer serp_jobs.h1.location_city

SUMMARY

Leads 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.

With 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.

Primary responsibilities include : curate and manage large neuroimaging & 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.

Other 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.

Preferred Qualifications :

• Candidates 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.
• Candidates must have 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.
• Candidates must have 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).
• Experience running and managing batch jobs on SLURM or similar HPC systems

BENEFITS

UT 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 :

EXPERIENCE AND EDUCATION

Required

PhD In Computer Science, Electrical Engineering, or related field or

Master’s Degree In Computer Science, Electrical Engineering, or related field

Experience

2 years Experience in software development / engineering and / or HPC systems management with PhD. or

4 years Experience in software development / engineering and / or HPC systems management with Master’s Degree.

JOB DUTIES

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 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.

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.