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Live In Medical Image Deep Learning Jobs in Texas

Intern, Deep Learning Engineer

Houston, TX

$14.25 - $19/hr

D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in Python and PyTorch with clean ...

Intern, Deep Learning Engineer

Houston, TX · On-site

$14.25 - $19/hr

D. candidate in CS, Robotics, or a related field, specifically focusing on Deep Learning, Computer Vision, Robotics, or related fields. * Technical Stack: Proficient in Python and PyTorch with clean ...

Senior Deep Learning Compiler Engineer

Austin, TX · On-site

$103K - $142K/yr

... in deep learning, enabling breakthroughs in many areas, e.g. large language models, generative AIs, recommendation systems, image classification, speech recognition, etc. Our DLC has been the ...

NVIDIA GPUs are at the center of the deep learning revolution and continue to enable breakthroughs in generative AI, large language models, recommendation systems, speech recognition, image ...

Postdoc Fellow - Imaging Physics

Houston, TX · On-site

$46K - $63K/yr

... skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

Senior Deep Learning Engineer

Austin, TX · On-site +1

$103K - $142K/yr

You'll excel in identifying and resolving functional/performance bottlenecks in complex software and hardware designs. We're hiring 3 Senior Deep Learning Engineers to join our Neural Networks team.

... skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

... skills in quantitative imaging, image analysis, artificial intelligence (AI)/deep learning ... Experience with machine learning and deep learning techniques, mathematical modeling, or medical ...

A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest performance in the world for deep learning and parallel processing algorithms. We ...

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Live In Medical Image Deep Learning information

What is the difference between Live In Medical Image Deep Learning vs Medical Imaging Specialist?

AspectLive In Medical Image Deep LearningMedical Imaging Specialist
CredentialsTypically requires a degree in computer science, AI, or related fields; certifications in deep learning or medical imaging are commonRequires degrees in radiology, medical imaging technology, or related healthcare fields; certifications in imaging modalities are often needed
Work EnvironmentPrimarily research labs, AI development teams, or healthcare tech companies; involves programming and data analysisHospitals, clinics, diagnostic centers; involves operating imaging equipment and patient interaction
Industry UsageUsed in developing AI algorithms for medical image analysis, diagnostics, and researchUsed in performing and interpreting medical imaging procedures for patient diagnosis

Live In Medical Image Deep Learning focuses on developing AI models for analyzing medical images, requiring programming and data science skills. In contrast, Medical Imaging Specialists perform imaging procedures and interpret results in clinical settings. Both roles are essential in healthcare but differ in their focus and daily tasks.

What cities in Texas are hiring for Live In Medical Image Deep Learning jobs?

Cities in Texas with the most Live In Medical Image Deep Learning job openings:

POSTDOCTORAL RESEARCHER - Data Science and AI Core for Population Research - Xiao Lab [Req#: 931349,

UT Southwestern Medical Center

Dallas, TX • On-site

Full-time

Re-posted 13 days ago


UT Southwestern rating

7.9

Company rating: 7.9 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

106th of 895 rated healthcare providers


Job description

Description
The Postdoctoral Fellow will play a key role in the CPRIT-funded Data Science and AI Core for Population Research (DAICOR), contributing to the development and deployment of advanced imaging-based AI tools to improve early cancer detection and population-level cancer research. Responsibilities include designing and implementing machine learning and deep learning models for medical image analysis across diverse cancer screening modalities (e.g., mammography, CT, ultrasound); developing pipelines for image preprocessing, harmonization, and integration with the DAICOR secure digital platform; and conducting rigorous validation studies to assess performance, bias, and generalizability of AI tools. The fellow will collaborate closely with clinicians, data scientists, and population researchers to extract imaging-derived biomarkers, support multimodal data integration, and contribute to scientific manuscripts and grant reports. Additional duties include assisting with training sessions and providing technical support to healthcare providers and researchers across Texas to facilitate the responsible and effective use of AI tools.
Qualifications
The ideal candidate will have a PhD in biomedical engineering, computer science, medical physics, or a related field, with strong experience in medical image analysis, machine learning, and coding in Python. Experience with large-scale imaging datasets and AI deployment in clinical or research environments is preferred.
Application Instructions
Interested individuals must upload a CV, cover letter, and a list of three references and email Guanghua.Xiao@UTSouthwestern.edu.

What UT Southwestern employees say

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Hours and flexibility

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