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Remote Biomedical Machine Learning Jobs in Azle, TX

BNSF Railway

Sr/Staff Data Scientist (Remote - US)

TX · On-site +1

$165K - $300K/yr

REMOTE Anticipated Start Date: 07/01/2026 The US base salary range for this full-time position is ... Lead the development and deployment of advanced machine learning models to forecast outcomes and ...

micro1 AI

Domain Expert - (STEM PhD)

Fort Worth, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Domain Expert - (STEM PhD)

Arlington, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Fort Worth, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

micro1 AI

Engineering AI Evaluator (PhD)

Arlington, TX · Remote

$80 - $90/hr

Remote micro1 is engaging PhD-level Engineers in Electrical, Mechanical, or Chemical disciplines to ... Experience with or interest in AI, machine learning, or technology-driven projects (a plus, not ...

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Remote Biomedical Machine Learning information

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$24

$33

How much do remote biomedical machine learning jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for remote biomedical machine learning in Azle, TX is $24.86, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $28.08 per hour, depending on experience, location, and employer.

What are some unique challenges faced when working remotely as a Biomedical Machine Learning professional, and how can they be addressed?

Remote Biomedical Machine Learning professionals often face challenges related to accessing large and sensitive datasets, ensuring compliance with data privacy regulations, and maintaining effective communication with interdisciplinary teams such as clinicians and researchers. To address these, it's important to become familiar with secure data transfer protocols, collaborate closely with IT and compliance officers, and utilize robust project management and communication tools. Regular virtual meetings and clear documentation can help bridge gaps and ensure alignment on project goals.

What are the key skills and qualifications needed to thrive as a Remote Biomedical Machine Learning Specialist, and why are they important?

Thriving in Remote Biomedical Machine Learning requires expertise in machine learning, data analysis, and a strong background in biomedical sciences, often supported by an advanced degree in a related field. Proficiency with programming languages such as Python or R, experience with frameworks like TensorFlow or PyTorch, and familiarity with medical data systems are typically necessary. Excellent problem-solving skills, communication abilities, and self-motivation are standout soft skills for remote collaboration and research. These competencies are vital to effectively develop innovative biomedical solutions, ensure data integrity, and drive impactful research in a distributed work environment.

What are remote biomedical machine learning jobs?

Remote biomedical machine learning jobs involve applying machine learning and artificial intelligence techniques to biomedical data, such as medical images, genetic information, or clinical records, while working from a remote location. Professionals in these roles develop algorithms to assist in disease diagnosis, drug discovery, or patient outcome prediction. These jobs typically require strong programming skills, experience with data science tools, and a background in biomedical sciences or related fields. Remote positions offer flexibility and the ability to collaborate with interdisciplinary teams from anywhere in the world.

What is the difference between Remote Biomedical Machine Learning vs Remote Biomedical Data Analyst?

AspectRemote Biomedical Machine LearningRemote Biomedical Data Analyst
Required CredentialsMaster's or PhD in Bioinformatics, Data Science, or related fields; experience with ML frameworksBachelor's or Master's in Biology, Data Analysis, or related; proficiency in data visualization and statistical tools
Work EnvironmentCollaborative remote teams, research labs, tech companiesRemote healthcare organizations, research institutions, biotech firms
Employer & Industry UsageTech companies, biotech startups, research institutionsHospitals, healthcare providers, pharmaceutical companies

Remote Biomedical Machine Learning specialists focus on developing algorithms and models to analyze biomedical data, often requiring advanced degrees and programming skills. In contrast, Remote Biomedical Data Analysts interpret and visualize biomedical datasets, typically with a focus on statistical analysis. Both roles are vital in healthcare and biotech industries but differ in technical depth and responsibilities.

What cities near Azle, TX are hiring for Remote Biomedical Machine Learning jobs? Cities near Azle, TX with the most Remote Biomedical Machine Learning job openings:
Remote Biomedical Machine Learning jobs near you
AI / Machine Learning Engineer Staff (Electronic Warfare)

AI / Machine Learning Engineer Staff (Electronic Warfare)

Lockheed Martin Corporation

Fort Worth, TX • On-site, Remote

Other

Re-posted 13 days ago

Lockheed Martin rating

8.1

Company rating: 8.1 out of 10

Based on 388 frontline employees who took The Breakroom Quiz

33rd of 61 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.
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.
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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

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