... machine learning. • Strong background in signal processing theory and application (radar ... biomedical
New
... machine learning. • Strong background in signal processing theory and application (radar ... biomedical
New
... machine learning. • Strong background in signal processing theory and application (radar ... biomedical
New
... machine learning. • Strong background in signal processing theory and application (radar ... or biomedical) • Experience with current AI paradigms, including computer vision, deep learning ...
New
... machine learning. • Strong background in signal processing theory and application (radar ... or biomedical) • Experience with current AI paradigms, including computer vision, deep learning ...
New
The Quantitative Biomedical Research Center (QBRC) is a well-established interdisciplinary research center at UT Southwestern that brings together experts in artificial intelligence, machine learning ...
The Quantitative Biomedical Research Center (QBRC) is a well-established interdisciplinary research center at UT Southwestern that brings together experts in artificial intelligence, machine learning ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
Identify and pursue new research directions for current and emerging technologies in machine learning, data science and analytics, biomedical engineering, neuromorphic processing, and human ...
$14.33 - $16.33
0% of jobs
$16.33 - $18.32
3% of jobs
$18.32 - $20.32
8% of jobs
$20.32 - $22.31
10% of jobs
$22.79 is the 25th percentile. Wages below this are outliers.
$22.31 - $24.31
19% of jobs
The median wage is $25.57 / hr.
$24.31 - $26.30
16% of jobs
$26.30 - $28.30
13% of jobs
$29.34 is the 75th percentile. Wages above this are outliers.
$28.30 - $30.30
12% of jobs
$30.30 - $32.29
9% of jobs
$32.29 - $34.29
6% of jobs
$34.29 - $36.28
4% of jobs
$14
$26
$36
A Biomedical Machine Learning job involves developing and applying machine learning algorithms to analyze biomedical data for healthcare and research applications. Professionals in this field work with medical imaging, genomics, electronic health records, and wearable device data to improve disease diagnosis, treatment, and patient outcomes. They collaborate with researchers, clinicians, and data scientists to design predictive models and extract insights from complex biological data. This role requires expertise in machine learning, data processing, and domain-specific knowledge in healthcare or life sciences.
A typical day in Biomedical Machine Learning involves cleaning and preparing biomedical datasets, developing or refining machine learning models, running experiments, and interpreting results in collaboration with domain experts such as bioinformaticians and clinicians. Professionals often participate in team meetings to discuss project goals, share insights, and adjust research directions based on feedback. The role may also involve reading scientific literature to stay current with new methodologies and contributing to academic publications or technical documentation. Working closely with both technical and healthcare-focused colleagues, you'll help translate data-driven insights into meaningful biomedical solutions that impact patient care or research outcomes.
To thrive in Biomedical Machine Learning, you need a solid background in statistics, machine learning, programming (Python or R), and a strong understanding of biological or medical data, often supported by advanced degrees in computer science, biomedical engineering, or related fields. Experience with frameworks like TensorFlow, PyTorch, and familiarity with biomedical datasets is highly valued, and certifications in data science or biomedical informatics can be advantageous. Strong analytical thinking, communication skills, and the ability to collaborate with interdisciplinary teams are crucial soft skills. These competencies are vital to developing robust models that address complex healthcare challenges while ensuring scientific rigor and regulatory compliance.
Fort Worth, TX • On-site, Remote
Full-time
Posted 2 days ago
8.1
Based on 379 frontline employees who took The Breakroom Quiz
35th of 60 rated aerospace companies
Job Description:
We are seeking a highly motivated and experienced Artificial Intelligence Engineer to join our Lockheed Martin Artificial Intelligence Center (LAIC) team. As a key member of our Applied AI team, you will play a critical role in developing technologies and products that leverage Artificial Intelligence to provide discriminating signal processing capabilities to our customers. You will work on a broad range of projects across the LAIC, from low Technical Readiness Level research to deployment and will be responsible for leading critical technical projects.Qualifications:
• Bachelor’s Degree in Engineering, Computer Science, or other related disciplineGet the full story on Breakroom
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As a global security and aerospace company, the majority of Lockheed Martin's business is with the U.S. Department of Defense and U.S. federal government agencies.The remaining portion of Lockheed Martin's business is comprised of international government and commercial sales of products, services and platforms.
Manufacturing
10,000+ Employees
Bethesda, MD, US
1912