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Remote Bioinformatics Machine Learning Jobs in Madison, TN

DataAnnotation

Programmer - AI Trainer

Nashville, TN · On-site +1

$50 - $100/hr

Contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and ... full-stack, machine learning, and other engineers -- who are driving real-world impact in AI ...

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 ...

FirstBank

Senior Automation Developer

Nashville, TN · Remote

This position is remote, but you MUST be located in our business footprint, which includes the ... Knowledge of artificial intelligence and machine learning. * Understanding of workflow-based logic.

OneOncology

VP, Data Architecture & Engineering

Nashville, TN · On-site +1

$173K - $224K/yr

Exceptional remote candidates may also be considered. Responsibilities: * Define and execute the ... Develop and execute the engineering strategy for artificial intelligence (AI), machine learning (ML ...

Crowe LLP

Cyber AI Security Manager

Nashville, TN · On-site +1

$107K - $144K/yr

We offer unlimited PTO, a flexible remote work policy, and a supportive environment that ... Act as the security expert in designing, developing, and deploying secure AI and machine learning ...

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All JobsBioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning JobsRemote Bioinformatics Machine Learning Jobs in Madison, TN

Remote Bioinformatics Machine Learning information

See Madison, TN salary details

$55.1K

$87.5K

$138.4K

How much do remote bioinformatics machine learning jobs pay per year?

As of Sep 6, 2026, the average yearly pay for remote bioinformatics machine learning in Madison, TN is $87,454.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $119,900.00 per year, depending on experience, location, and employer.

What is a remote bioinformatics machine learning specialist?

A Remote Bioinformatics Machine Learning specialist is a professional who applies machine learning techniques to biological data, such as genomics or proteomics, while working from a remote location. They analyze complex biological datasets to uncover patterns, make predictions, and contribute to advancements in areas like drug discovery, disease research, and personalized medicine. These specialists typically have strong skills in programming, statistics, biology, and data analysis, and collaborate with researchers and healthcare professionals through digital communication tools.

What are the key skills and qualifications needed to thrive as a remote bioinformatics machine learning specialist?

To excel as a Remote Bioinformatics Machine Learning Specialist, a strong background in computational biology, statistics, and machine learning—often supported by an advanced degree in bioinformatics, computer science, or a related field—is essential. Proficiency with programming languages like Python or R, experience using machine learning frameworks (such as TensorFlow or scikit-learn), and familiarity with bioinformatics tools and databases are typically required. Excellent problem-solving, self-motivation, and clear communication skills help professionals collaborate effectively and independently in remote environments. These abilities are vital for developing accurate models, interpreting complex biological data, and contributing meaningful insights to scientific research.

How do remote bioinformatics machine learning professionals typically collaborate with cross-functional teams?

Remote bioinformatics machine learning professionals often work closely with biologists, data scientists, and software engineers. Collaboration is typically facilitated through virtual meetings, shared code repositories, and project management tools. Regular communication is essential to align on data requirements, model development, and interpretation of results. While remote work offers flexibility, it requires strong organizational skills and proactive engagement to ensure seamless teamwork and project success.

What is the difference between Remote Bioinformatics Machine Learning vs Remote Computational Biologist?

AspectRemote Bioinformatics Machine LearningRemote Computational Biologist
Required CredentialsMaster's or PhD in Bioinformatics, Computer Science, or related fields; experience in machine learningMaster's or PhD in Biology, Bioinformatics, or related fields; strong computational skills
Work EnvironmentRemote, collaborative teams in biotech, pharma, or research institutionsRemote or on-site, working in research labs or academic settings
Industry UsageUsed in biotech, healthcare, and pharmaceutical industries for data analysis and model developmentCommon in academic research, biotech, and healthcare for biological data interpretation

Remote Bioinformatics Machine Learning focuses on developing algorithms and models to analyze biological data using machine learning techniques. In contrast, Remote Computational Biologist applies computational methods to biological research questions, often integrating diverse data types. Both roles require strong computational skills and often overlap, but the former emphasizes machine learning expertise, while the latter has a broader biological research scope.

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

The top searched job categories for Remote Bioinformatics Machine Learning jobs in Madison, TN are:

What cities near Madison, TN are hiring for Remote Bioinformatics Machine Learning jobs?

Cities near Madison, TN with the most Remote Bioinformatics Machine Learning job openings:

Remote Bioinformatics Machine Learning jobs near you

Director, AI Engineering - Remote

Premise Health

Brentwood, TN • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 5 days ago

Premise Health rating

8.0

Company rating: 8.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

90th of 898 rated healthcare providers

Job description

Premise Health is Different on Purpose
Premise Health serves large organizations and their people with exceptional healthcare. The result? Better experiences, better health, and better value, all while helping organizations lower their healthcare costs.
Premise's mission is to help people get, stay, and be well. Come join us and see for yourself why amazing health starts with amazing healthcare. For more information, visit www.jobs.premisehealth.com.
As the Director, AI Engineering, you will serve as the strategic leader and architect for Premise Health's AI engineering initiatives, responsible for defining and implementing enterprise-wide AI architecture, strategy, and best practices. This role combines deep technical expertise in artificial intelligence, information security, cloud architecture, and enterprise systems with strong leadership capabilities to build and guide the organization's AI transformation. The ideal candidate will have extensive experience in healthcare technology, information security architecture, AI/ML solutions, cloud-native application development, and agile methodologies. This position requires a visionary leader who can bridge the gap between business strategy and technical execution while ensuring security, compliance, scalability, and operational excellence across all AI initiatives.
This is a Full Time, remote Director, AI Engineering role.
What You'll Do
  • Define and lead the enterprise AI architecture strategy for Premise Health, establishing architectural principles, standards, patterns, and best practices for AI/ML solutions across the organization.
  • Design and architect secure, scalable AI solutions leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and other advanced AI technologies while ensuring alignment with business objectives.
  • Establish and enforce information security architecture for all AI systems, including Identity and Access Management (IAM), computer-to-computer authentication mechanisms, API security, data protection, and compliance with healthcare regulations (HIPAA, HITECH).
  • Manager the creation of reference architectures for AI-powered applications that serve as reusable templates and accelerate development across multiple teams and business units.
  • Partner with business and IT leaders to make investment decisions that balance current operational demands with long-term strategic vision for AI capabilities and innovation.
  • Architect cloud-native AI solutions on Azure, AWS, and other cloud platforms, establishing patterns for microservices, serverless computing, event-driven architectures, and containerization.
  • Design and implement secure API gateway strategies for both public and private APIs, ensuring proper authentication, authorization, rate limiting, and monitoring across all AI services.
  • Establish DevOps and CI/CD practices for AI/ML solutions, ensuring continuous delivery, automated testing, model versioning, and deployment pipelines for AI systems.
  • Manage cross-functional collaboration efforts between data science, engineering, security, and operations teams to deliver integrated AI solutions that meet business requirements.
  • Evaluate and recommend emerging AI technologies, frameworks, and platforms based on business value drivers, return on investment, and alignment with enterprise architecture standards.
  • Develop and maintain technology roadmaps for AI capabilities, identifying opportunities for automation, process improvement, and innovation using artificial intelligence and machine learning.
  • Architect healthcare-specific AI solutions with expertise in health data interchange standards (HL7, FHIR) and healthcare workflow automation using AI and RPA technologies.
  • Establish governance frameworks for responsible AI, including ethical AI principles, bias detection and mitigation, model explainability, and compliance with regulatory requirements.
  • Manage the architecture team for AI initiatives, including recruitment, development, mentoring, and performance management of architects and senior technical staff.
  • Oversee direct reports, with responsibility for performance management, coaching and development.
  • Create and maintain comprehensive architectural documentation including solution architectures, technical specifications, integration patterns, security models, and decision records.
  • Conduct architectural reviews and provide technical guidance to development teams working on AI-powered services, products, and platforms.
  • Design multi-tenant SaaS architectures for AI applications that support multiple regions, ensure data isolation, and provide accurate cost allocation and billing.
  • Establish architectural patterns for integrating AI capabilities into existing systems, including event sourcing, pub/sub messaging, claim check patterns, sidecar patterns, and gateway patterns.
  • Lead proof-of-concept and pilot initiatives to validate new AI technologies and architectural approaches before enterprise-wide adoption.
  • Collaborate with information security teams to ensure all AI solutions meet security requirements for authentication, authorization, encryption, audit logging, and threat protection.
  • Develop communication strategies and materials to evangelize AI architecture principles and best practices across the organization at all levels from technical teams to executive leadership.
  • Advise executive leadership on AI strategy, technology options, risks, costs versus benefits, system impacts, and implementation priorities.
  • Drive migration strategies to transition legacy systems to modern AI-enabled cloud-native architectures with minimal disruption to business operations.
  • Establish practices for resource allocation, cost optimization, and performance monitoring for cloud-based AI solutions.
  • Champion agile ways of working and modern development practices across AI engineering teams, including iterative development, continuous improvement, and DevOps culture.
  • Ensure AI solutions are architected for high availability, disaster recovery, scalability, performance, and operational excellence.

What You'll Bring
  • Master's degree in Computer Science, Engineering, Information Systems, or related technical field required; or equivalent combination of education and experience.
  • Advanced certifications in enterprise architecture frameworks (TOGAF, Zachman) strongly preferred.
  • Cloud architecture certifications (Azure Solutions Architect Expert, AWS Certified Solutions Architect) strongly preferred.
  • 10+ years of experience in information technology with at least 7 years in enterprise architecture, solutions architecture, or technical leadership roles required.
  • 5+ years of experience in AI/ML architecture, including hands-on experience with Large Language Models, AI agents, RAG architectures, and AI application development required.
  • 7+ years of experience in healthcare technology with deep understanding of health data standards (HL7, FHIR), healthcare workflows, and regulatory compliance (HIPAA, HITECH) required.
  • Proven experience as Principal Architect, Principal Information Security Architect, or equivalent senior technical leadership role required.
  • 5+ years of experience leading architecture teams and managing diverse technical teams required.
  • Experience managing organizational change across multiple teams or departments, ensuring adoption and alignment. Extensive experience architecting and implementing cloud-native applications on Azure and/or AWS, including migration strategies from on-premises to cloud-first organizations required.
  • Strong background in information security architecture, including IAM solutions, authentication and authorization mechanisms (OAuth, SAML, OpenID Connect), API security, and security infrastructure required.

Work-life balance is at the foundation of how decisions are made and where Premise is headed. We can only help people get, stay, and be well if we do the same for ourselves. In addition to competitive pay, Premise offers full-time team members benefits including medical, dental, vision, life and disability insurance, a 401(k) program with company match, paid holidays and vacation time, a company-sponsored wellness program, EAP, access to virtual primary care and virtual behavioral health at no cost for team members and their dependents. Additional benefits can be viewed here: https://jobs.premisehealth.com/benefits .
Premise is an equal opportunity employer; we value inclusion and do not discriminate based on race, color, religion, creed, national origin or ancestry, ethnicity, sex (including pregnancy and related conditions), gender identity or expression, sexual orientation, age, physical or mental disability, genetic information, past, current or prospective service in the uniformed services, or any other characteristic protected under applicable federal, state, or local law.
Premise provides its reasonable and genuinely expected range of compensation for this job of $160,000.00 - $200,000.00 annually. A number of factors will influence the rate offered for this position, including your experience, qualifications, geographic location, and other factors. This position is eligible for an Annual Performance Incentive that is a percentage of base salary and awarded based upon individual annual evaluation and company financial performance.
For individuals living in Washington or Colorado: Premise offers the following paid time off benefits. Employees will be included in the company's Open Time Off plan and will receive 10 paid holidays or an equivalent bank of hours aligned to schedule throughout the calendar year. Paid sick leave is satisfied by the paid time off accrual, detailed above.
This posting is anticipated to close within 90 days of 02/25/2026.
Should you have questions regarding this job posting, please contact askhr@premisehealth.com .

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About Premise Health

Sourced by ZipRecruiter

Premise Health is the world's leading direct healthcare provider and one of the largest digital providers in the country, serving over 11 million eligible lives across more than 2,500 of the largest commercial and municipal employers in the U.S. Premise partners with its clients to offer fully connected care - in-person and in the digital environment. It operates more than 800 onsite and nearsite wellness centers in 45 states and Guam, delivering care through the Digital Wellness Center and onsite, nearsite, mobile, and event solutions. Premise delivers value by simplifying complexity and breaking down barriers to give diverse member populations access to convenient, integrated, high-quality care. We offer more than 30 products, delivering the breadth and depth of care required to serve organizations' total populations. The result is healthcare that meets the needs of members and their families, helping them live healthier while lowering costs for organizations.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Brentwood, TN, US

Year founded

1975

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