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Ai Medical Coding Jobs in Tennessee (NOW HIRING)

BPD

AI Engineer

Nashville, TN · On-site +1

$110K - $132K/yr

Experience in AI-assisted coding and CICD processes. * Familiarity working with Node, React , or ... Our clients range from the largest health systems to prestigious academic medical centers to ...

Pwc

CTIO AI Engineering Manager

Nashville, TN · On-site

$73K - $244K/yr

... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

Pwc

ERP AI Engineer - Manager

Nashville, TN

$99K - $232K/yr

... Firm's code of conduct, and independence requirements. The Opportunity As part of the Data and ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

Pwc

US Tech - AI Engineering Senior Associate

Nashville, TN · On-site

$55K - $187K/yr

... code of conduct, and independence requirements. The Opportunity As part of the People Tech & AI ... PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation ...

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Ai Medical Coding information

What is AI medical coding?

AI Medical Coding refers to the use of artificial intelligence technologies to automate the process of converting healthcare diagnoses, procedures, and services into standardized medical codes. These codes are essential for billing, insurance claims, and maintaining accurate patient records. AI systems can analyze clinical documents and recommend or assign appropriate codes with greater speed and accuracy, helping to reduce human error and administrative workload. This technology supports healthcare providers by streamlining coding processes and ensuring compliance with regulatory standards.

What are the key skills and qualifications needed to thrive as an AI medical coder?

To thrive as an AI Medical Coder, you need expertise in medical coding standards (ICD-10, CPT), healthcare regulations, and a strong understanding of medical terminology, often supported by a certification such as CPC or CCS. Familiarity with AI-driven coding platforms, EHR systems, and data analytics tools is typically required. Attention to detail, analytical thinking, and effective communication are crucial soft skills for ensuring coding accuracy and collaborating with healthcare teams. These competencies are essential for maintaining compliance, optimizing reimbursement, and supporting efficient healthcare operations in an increasingly technology-driven environment.

How does an AI medical coding professional typically collaborate with healthcare providers and IT teams?

AI Medical Coding professionals often work closely with healthcare providers to ensure clinical documentation is accurately interpreted and coded. They also collaborate with IT teams to implement, validate, and optimize AI-driven coding tools, ensuring systems meet compliance standards and integrate smoothly with existing electronic health records (EHRs). Open communication with both groups is essential, as it helps address discrepancies, improve coding accuracy, and streamline workflows. This cross-functional collaboration is key to maintaining high-quality data and regulatory compliance in a fast-paced healthcare environment.

What is the difference between Ai Medical Coding vs Medical Coding?

AspectAi Medical CodingMedical Coding
CertificationsTypically requires CPC or CCS certificationsRequires CPC, CCS, or equivalent certifications
Work EnvironmentOften performed in healthcare facilities or remotely with AI supportPrimarily in hospitals, clinics, or remote settings
Industry UsageUsed in healthcare billing, insurance, and AI-driven coding toolsUsed in medical billing, coding departments, and healthcare administration

Ai Medical Coding combines artificial intelligence with medical coding skills, often requiring similar certifications as traditional Medical Coding. While Medical Coders manually review and assign codes, Ai Medical Coding leverages AI tools to automate or assist this process. Both roles are essential in healthcare billing and insurance, but Ai Medical Coding emphasizes technology integration, making it suitable for those interested in AI applications within healthcare.

What are popular job titles related to Ai Medical Coding jobs in Tennessee?

For Ai Medical Coding jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Ai Medical Coding jobs in Tennessee look for?

The top searched job categories for Ai Medical Coding jobs in Tennessee are:

What cities in Tennessee are hiring for Ai Medical Coding jobs?

Cities in Tennessee with the most Ai Medical Coding job openings:

Ai Medical Coding jobs near you
Infographic showing various Ai Medical Coding job openings in Tennessee as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, and 6% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Postdoctoral Scholar in Health AI-Pediatrics CBMI

The University of Tennessee

Memphis, TN

Full-time

Posted 24 days ago

Job description

THIS IS A GRANT-FUNDED POSITION FUNDED UNTIL OCTOBER 1, 2027.

The Postdoctoral Scholar designs, develops, evaluates, and optimizes advanced artificial intelligence (AI) methods that support intelligent cancer patient navigation and clinical decision support. Under the direction of the Principal Investigator, this position leads research and development on multimodal machine learning, agentic AI, explainable AI, causal inference, predictive analytics, and continuous learning to develop trustworthy AI solutions that improve cancer care delivery.

Ph.D. in a relevant discipline (e.g. Medical Informatics, Computer Science, Software Engineering, Mathematics, etc.) 

Track record of publications in top journals and conferences in the field. Strong track record of quantitative and analytics mastery, and expertise in Artificial Intelligence, Machine Learning, Causal Modeling, and Knowledge Graphs. Strong coding and implementation skills. Outstanding interpersonal skills and written and verbal communication capabilities.

WORK SCHEDULE: This position may occasionally be required to work weekends and evenings. May require occasional overnight travel. 

  1. Designs, develops, implements, and optimizes advanced artificial intelligence, machine learning, and multimodal AI models for intelligent cancer patient navigation and clinical decision support.

  2. Conducts research in explainable AI, agentic AI, causal inference, predictive analytics, knowledge representation, and continuous learning.

  3. Designs and evaluates AI algorithms using electronic health records, patient-reported outcomes, social determinants of health, medical imaging, and other healthcare data sources.

  4. Conducts benchmarking, validation, performance evaluation, and fairness, robustness, and explainability assessments of AI model.

  5. Collaborates with software engineers, clinicians, and interdisciplinary investigators to translate AI research into interoperable clinical applications and decision support tools.

  6. Develops and maintains reproducible analytical workflows and research software to support AI model development and evaluation

  7. Mentors graduate students and junior researchers throughout the project lifecycle.

  8. Prepares manuscripts, technical reports, conference presentations, and publications in leading journals and scientific meetings.

  9. Participates in proposal preparation and collaborative research activities supporting federally and state-funded research programs.

  10. Performs other duties as assigned.

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