1

Biomedical Machine Learning Jobs in Texas (NOW HIRING)

next page

Showing results 1-20

Biomedical Machine Learning information

See Texas salary details

$14

$26

$36

How much do biomedical machine learning jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for biomedical machine learning in Texas is $26.58, according to ZipRecruiter salary data. Most workers in this role earn between $22.60 and $30.00 per hour, depending on experience, location, and employer.

What is a Biomedical Machine Learning job?

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.

What does a typical day look like for someone in a Biomedical Machine Learning role?

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.

What are the key skills and qualifications needed to thrive in the Biomedical Machine Learning position, and why are they important?

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.

What are the most commonly searched types of Biomedical Machine Learning jobs in Texas? The most popular types of Biomedical Machine Learning jobs in Texas are:
What cities in Texas are hiring for Biomedical Machine Learning jobs? Cities in Texas with the most Biomedical Machine Learning job openings:
AI / Machine Learning Engineer Staff (Electronic Warfare)

AI / Machine Learning Engineer Staff (Electronic Warfare)

Lockheed Martin

Fort Worth, TX • On-site, Remote

Full-time

Posted 2 days ago


Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 379 frontline employees who took The Breakroom Quiz

35th of 60 rated aerospace companies


Job description

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.
Key Responsibilities:
• Develop and Apply AI Technologies
• Develop and apply current AI paradigms, including computer vision, deep learning, and reinforcement learning, to solve complex signal processing problems and field innovative solutions.
• Engage in every phase of the system development lifecycle, including requirements generation, system and software design, implementation, integration, and flight test.
• Take ownership of critical tasks and lead technical teams to deliver high-quality solutions.
• Participate in the development of proposals and whitepapers to secure funding for AI research and development projects
Technical Leadership and Mentorship:
• Assume technical lead responsibilities and mentor junior engineers to help them develop their skills and expertise.
• Provide guidance and support to team members to ensure successful project execution.
• Collaboration and Communication:
• Work collaboratively with cross-functional teams to develop and deploy AI solutions.
• Communicate complex technical concepts and solutions to non-technical stakeholders.
• Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application.
Technical Skills:
• Strong background in software engineering, artificial intelligence, and machine learning.
• Strong background in signal processing theory and application (radar, communication, electronic warfare, sonar, audio, or biomedical)
• Experience with current AI paradigms, including computer vision, deep learning, and reinforcement learning.
• Proficiency in programming languages such as Python, Java, or C++.
Soft Skills:
• Self-motivation, strong work ethic, and time management skills.
• Excellent interpersonal and communication skills.
• Engage with other Lockheed Martin teams to identify opportunities for AI adoption and application
• Education and Experience:
• Bachelor's degree in a relevant field, such as computer science, electrical engineering, or mathematics.
• 5+ years of experience in AI or a related field.
What We Offer:
• Opportunity to Work on High-Impact Projects:
• Work on a broad range of projects across the LAIC, from low TRL research to deployment.
• Develop and apply AI technologies to solve complex problems and field innovative solutions.
• Collaborative and Dynamic Work Environment:
• Work collaboratively with cross-functional teams to develop and deploy AI solutions.
• Participate in a fast-paced and dynamic work environment with a focus on innovation and experimentation.
• Professional Development and Growth Opportunities:
• Opportunities for professional growth and development in AI and related fields.
• Mentorship and guidance from experienced engineers and leaders.
The preferred work locations for this position are Lockheed Martin facilities in Fort Worth, TX, or Palmdale, CA. Remote work arrangements may also be considered for qualified candidates.
#LMLAIC

Qualifications:

• Bachelor’s Degree in Engineering, Computer Science, or other related discipline
• Experience developing with machine learning frameworks (Pytorch, Tensorflow, JAX, Keras, etc.)
• Experience with Python and multiple libraries (NumPy, OpenCV, Scikit, Pandas, SciPy, etc.)
• Experience with machine learning and deep learning for signal processing applications such as radar, communication, electronic warfare, sonar, audio, or biomedical

What Lockheed Martin employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Lockheed Martin logo

About Lockheed Martin

Sourced by ZipRecruiter

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.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Bethesda, MD, US

Year founded

1912