Computational Scientist, Psychiatry — HPC & Digital Phenotyping

University of Texas Southwestern Medical Center; Dallas (TX); Vor Ort; USD 90.000 - 130.000; Vollzeit

Zusammenfassung

UT Southwestern Medical Center in Dallas seeks a Computational Scientist to provide computational solutions for biomedical researchers, leveraging high-performance computing resources to enable data collection, analysis, and visualization across diverse biological data sources.

The role supports the Computational Psychiatry Laboratory and its mission to transform mood disorder understanding through passive physiological data from wearable tech, with opportunities for research collaboration and

Qualifikationen

• Bachelor's degree in Computer Science, Engineering, Physics, or related field.
• Experience with HPC and publishing computational science results.
• Master's degree or PhD preferred.

Aufgaben

• Support faculty and research staff in adapting computational strategies to biomedical research needs.
• Work with high-performance compute clusters, parallel file systems, GPUs, and databases.
• Develop software and methods to explore, analyze, and visualize complex biological data.
• Participate in design and execution of collaborative biomedical studies.
• Assist team in applying computational systems to accelerate scientific discoveries.
• Perform other duties as assigned.

Kenntnisse

HPC experience

Computational data analysis

Publishes computational results

Ausbildung

Bachelor's degree in CS/Engineering/Physics or related

Master's or PhD preferred

Jobbeschreibung

UT Southwestern Medical Center in Dallas seeks a Computational Scientist to provide computational solutions for biomedical researchers, leveraging high-performance computing resources to enable data collection, analysis, and visualization across diverse biological data sources.

The role supports the Computational Psychiatry Laboratory and its mission to transform mood disorder understanding through passive physiological data from wearable tech, with opportunities for research collaboration and