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Remote Biomedical Machine Learning Jobs in Nashville, TN

Revecore

Senior Machine Learning Engineer

Franklin, TN · Remote

$118K - $155K/yr

Remote - USA As a Senior Machine Learning Engineer (individual contributor) atRevecore, you will: Use yourexpertisein machine learning, exploratory data analysis, and software engineering to enhance ...

Koniag, Inc.

Data Scientist (Remote)

Nashville, TN · On-site +1

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... Stay current on emerging data science methodologies, machine learning research, AWS AI and ML ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... Stay current on emerging data science methodologies, machine learning research, AWS AI and ML ...

kgs

Data Scientist (Remote)

Nashville, TN · Remote

This position is Remote. We offer competitive compensation and an extraordinary benefits package ... Stay current on emerging data science methodologies, machine learning research, AWS AI and ML ...

Zortech Solutions

GenAI Architect

Nashville, TN · Remote

Job Title GenAI Architect Duration: 6+ Months Location Nashville, TN Remote Work 100% Primary ... Excellent understanding of machine learning techniques and algorithms such as GPTs CNN RNN kNN ...

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Familiarity with machine learning, recommendation systems, reinforcement learning, or decision ... Remote/Hybrid - Preferably Boston, MA. Occasional travel to Humana's offices for training or ...

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Familiarity with machine learning, recommendation systems, reinforcement learning, or decision ... Remote/Hybrid - Preferably Boston, MA. Occasional travel to Humana's offices for training or ...

Humana

Senior Data Engineer - NBA

Nashville, TN · On-site +1

$110K - $132K/yr

Familiarity with machine learning, recommendation systems, reinforcement learning, or decision ... Remote/Hybrid - Preferably Boston, MA. Occasional travel to Humana's offices for training or ...

Revecore

Senior Data Engineer

Franklin, TN · Remote

$102K - $138K/yr

Remote-USA Revecore is embarking on re-architecting and modernizing its core platform. The Data ... This team is composed of Data Engineering, Analytics Engineering, Data Science and Machine Learning ...

Motorola

Senior DevOps Engineer (US REMOTE)

Brentwood, TN · Remote

$140K - $170K/yr

Experience with AI/machine learning technologies is strongly preferred. * Familiarity with TCP/IP ... Candidate can live anywhere in the United States. #LI-MP2 #LI-REMOTE Basic Requirements * 8+ years ...

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All JobsBiomedical Machine Learning JobsRemote Biomedical Machine Learning JobsRemote Biomedical Machine Learning Jobs in Nashville, TN

Remote Biomedical Machine Learning information

See Nashville, TN salary details

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

As of Aug 30, 2026, the average hourly pay for remote biomedical machine learning in Nashville, TN is $27.55, according to ZipRecruiter salary data. Most workers in this role earn between $23.46 and $31.11 per hour, depending on experience, location, and employer.

What is a remote biomedical machine learning job?

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 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 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 are popular job titles related to Remote Biomedical Machine Learning jobs in Nashville, TN?

For Remote Biomedical Machine Learning jobs in Nashville, TN, the most frequently searched job titles are:

What job categories do people searching Remote Biomedical Machine Learning jobs in Nashville, TN look for?

The top searched job categories for Remote Biomedical Machine Learning jobs in Nashville, TN are:

What cities near Nashville, TN are hiring for Remote Biomedical Machine Learning jobs?

Cities near Nashville, TN with the most Remote Biomedical Machine Learning job openings:

Remote Biomedical Machine Learning jobs near you

Remote AI / Machine Learning Specialist

Nashville, TN • Remote

TA Staffing
Recruiting and Staffing Services • 501 - 1,000 employees
Learn more about TA Staffingexternal

Full-time

Re-posted 3 days ago

Job description

We're seeking an innovative AI / Machine Learning Specialist to help design, build, and deploy intelligent solutions that improve business performance and automate complex processes. In this fully remote role, you'll work with engineering, product, and business teams to develop machine learning models, optimize AI systems, and transform data into actionable insights.

What You'll Do

  • Design, develop, train, and deploy machine learning and AI models.
  • Build predictive models, recommendation engines, and intelligent automation solutions.
  • Analyze structured and unstructured data to identify patterns and business opportunities.
  • Develop and optimize large language model (LLM) applications and AI-powered workflows.
  • Collaborate with software engineers to integrate AI solutions into production environments.
  • Monitor model performance and continuously improve accuracy and efficiency.
  • Stay current with emerging AI technologies, frameworks, and industry best practices.

Qualifications

  • Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, or a related field (Master's degree preferred).
  • Experience with Python and machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn.
  • Knowledge of large language models (LLMs), generative AI, prompt engineering, and retrieval-augmented generation (RAG).
  • Experience with SQL, data pipelines, and cloud platforms such as AWS, Azure, or Google Cloud.
  • Familiarity with APIs, Git, Docker, and MLOps practices.
  • Strong analytical thinking, problem-solving, and communication skills.
  • Ability to manage multiple AI initiatives in a fast-paced remote environment.

Preferred Experience

  • Experience deploying AI models into production environments.
  • Knowledge of vector databases, embeddings, and semantic search.
  • Experience building AI agents or workflow automation tools.
  • Familiarity with Kubernetes, CI/CD pipelines, and cloud-native architectures.
  • Experience working with enterprise AI platforms such as OpenAI, Anthropic, Google Vertex AI, or Amazon Bedrock.

Why Join Our Team?

  • 100% remote work from anywhere in the United States.
  • Competitive salary, annual bonus, and comprehensive benefits.
  • Work on cutting-edge AI and machine learning initiatives with real business impact.
  • Flexible work schedule and excellent work-life balance.
  • Ongoing professional development and access to the latest AI technologies.
  • Opportunities for rapid career growth as AI adoption continues to accelerate across industries.


Ready to apply?

Complete your on-demand video interview by clicking the link below. The interview takes about 10 minutes, and you can complete it whenever and whenever it's convenient for you.

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