1

Medical Coding Artificial Intelligence Jobs in Tennessee

Experience with artificial intelligence/large language model platform features, including Skills ... Claude Code, Codex or Cursor) and deep understanding of the AI landscape * Ability to travel 50 ...

Electrical Assembly

Soddy Daisy, TN

$19.50 - $20/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Dress code includes jeans, safety boots, and a work shirt. The company is growing at a fairly quick ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

Accounts Payable Representative

Franklin, TN · On-site

$19 - $22/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Processes invoices daily via coding and reviewing pre-coded invoices along with entering vendor ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Accounts Payable Representative

Franklin, TN · On-site

$19 - $22/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Processes invoices daily via coding and reviewing pre-coded invoices along with entering vendor ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Showing results 41-60

Medical Coding Artificial Intelligence information

What is Medical Coding Artificial Intelligence?

Medical Coding Artificial Intelligence refers to the use of AI technologies to automate and improve the medical coding process in healthcare. AI systems can analyze clinical documentation, extract relevant information, and assign appropriate codes for diagnoses and procedures. This technology helps healthcare providers increase accuracy, reduce manual errors, streamline billing, and ensure compliance with regulations. By leveraging AI, organizations can save time and resources while enhancing the quality of patient data management.

How do professionals in Medical Coding Artificial Intelligence typically collaborate with healthcare providers and IT teams?

Professionals working in Medical Coding Artificial Intelligence frequently interact with both healthcare providers and IT teams to develop and refine AI models that accurately interpret medical documentation. This collaboration involves understanding clinical workflows, ensuring data privacy compliance, and translating medical terminology into machine-readable formats. Regular meetings and cross-functional teamwork help align the AI solutions with real-world clinical needs and regulatory standards, making strong communication skills essential for success in this role.

What are the key skills and qualifications needed to thrive in Medical Coding Artificial Intelligence, and why are they important?

To excel in Medical Coding Artificial Intelligence, you need a strong background in medical coding, familiarity with healthcare terminology, and expertise in AI or machine learning, often supported by degrees in health informatics, computer science, or related certifications. Experience with coding systems like ICD-10, CPT, and proficiency in AI tools, programming languages (such as Python), and natural language processing platforms are typically required. Strong analytical thinking, attention to detail, and effective collaboration skills help professionals bridge the gap between clinical data and technical solutions. These competencies are crucial for developing, optimizing, and deploying AI systems that improve the accuracy and efficiency of medical coding in healthcare organizations.

What is the difference between Medical Coding Artificial Intelligence vs Medical Coding Specialist?

AspectMedical Coding Artificial IntelligenceMedical Coding Specialist
CredentialsNone required, relies on algorithmsCertification (e.g., CPC, CCS)
Work EnvironmentAutomated systems, software platformsHospitals, clinics, healthcare offices
Industry UsageAssists or automates coding tasksPerforms manual coding and audits
Search/Comparison IntentUnderstanding AI role in codingManual coding skills and certification

Medical Coding Artificial Intelligence primarily automates coding processes using algorithms, reducing manual effort. Medical Coding Specialists manually review and assign codes, often requiring certifications. AI enhances efficiency, while specialists ensure accuracy and compliance. Both play vital roles in healthcare documentation and billing.

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

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

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

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

What cities in Tennessee are hiring for Medical Coding Artificial Intelligence jobs?

Cities in Tennessee with the most Medical Coding Artificial Intelligence job openings:

Faculty Position, Department of Radiology - Pediatric Body Radiology

St. Jude Children's Research Hospital

Memphis, TN • On-site

$310K - $388K/yr

Full-time

Re-posted 17 days ago


St. Jude Children's Research Hospital rating

8.6

Company rating: 8.6 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

43rd of 1,060 rated hospitals


Job description

SJCRH
Position Overview:
St. Jude Children's Research Hospital invites applications for a full-time faculty position in the Department of Radiology for an ABR-certified or eligible radiologist with subspecialty training in Pediatric, Body, Chest, Abdominal, or Oncologic Radiology. The ideal candidate will be a clinician scientist whose career goals include both outstanding clinical service and innovative data science research that advances the field of pediatric oncologic and catastrophic disease imaging. Academic rank will be commensurate with experience and qualifications.
Our Mission and Vision:
The mission of St. Jude Radiology is to advance cures and understanding of pediatric cancer and catastrophic diseases through excellence in radiology research, innovation, clinical practice, education, and administration. Our vision is to lead the world in radiology for pediatric cancer and catastrophic diseases.
Department Overview:
The department is composed of seven sections: Body Radiology, Neuroradiology, Interventional Radiology, Nuclear Medicine, Intelligent Imaging Informatics (I3), Research, and Physics. The Body Radiology section focuses primarily on pediatric cancer imaging and also serves patients with hematologic, infectious, and rare neurologic diseases. Many of our patients are on clinical trials, providing rich opportunities for collaboration and for developing and validating imaging biomarkers and endpoints.
Clinician Scientists:
Clinician scientists at St. Jude are provided with exceptional support to build and sustain productive academic careers. Faculty on this track receive dedicated research time, typically 50% of their effort, along with full-time research staff (one, two, or three dedicated and permanent staff members for assistant, associate, and full members, respectively). Each clinician scientist is provided with a recurring research cost center (budget) that is renewed annually in perpetuity. In addition, faculty may receive a startup package (e.g., equipment or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software engineering, and grant-writing expertise. Clinician scientists are expected to obtain extramural funding, and our infrastructure is specifically designed to foster success in this area through mentorship, collaboration, and technical and administrative assistance.
Clinical:
Clinical responsibilities are manageable and designed to complement academic pursuits. The Body Radiology reading room is staffed by two radiologists on weekdays, with light call on evenings and weekends, taken from home and consisting mainly of peer review of teleradiology cases. There is no trauma or emergency room coverage and no intussusception reductions. The section supports a 3D and virtual reality (VR) imaging lab, a tumor metrics (response evaluation) lab, and receives assistance from three physicists who provide expertise across all imaging modalities. Body Radiologists interpret MRI, CT, ultrasound, DEXA, and radiographs, with optional opportunities to participate in cardiac MRI and nuclear imaging. We employ the latest imaging technologies, including four state-of-the-art MRI systems (a fifth planned for 2026) and a photon-counting CT scanner coming online in early 2026. For those with an interest in nuclear medicine, we have a dedicated cyclotron and an extended field-of-view PET/CT scanner, the first installed in a dedicated pediatric hospital in North America.
Artificial Intelligence:
The department is deeply engaged in advancing artificial intelligence (AI) and quantitative imaging to improve both patient care and research. Some clinician scientists are also members of Intelligent Imaging Informatics (I3), an expanding section that harnesses the power of imaging informatics and AI to accelerate research, clinical care, and translational efforts in pediatric radiology, advancing the St. Jude Mission. The Image Quantification and Artificial Intelligence (IQAI) Co-Laboratory is a dedicated research and development team for biomedical informatics and AI. This interdisciplinary team serves the Department of Radiology by building and maintaining the advanced data infrastructure that fuels faculty-led research, performing collaborative projects with clinicians and scientists and conducting core biomedical informatics research. The IQAI team recently developed a Radiology Data Center (RDC) for data science that supports de-identified radiologic and pathology data, electronic medical records, and other institutional datasets.
Research:
Research is at the core of the St. Jude mission, and the Department of Radiology offers an extraordinary ecosystem for investigator-initiated science. Faculty benefit from access to IQAI and the Radiology Data Center for data science and quantitative imaging research, as well as support from dedicated staff for grant writing, IRB management, clinical research coordinators, image processing, and biostatistics. Faculty are encouraged to pursue both independent and collaborative projects that leverage the department's integration with research programs in MRI and multimodal imaging, Molecular Imaging, Oncology, Surgery, Pathology, Data Science, Imaging Sciences, and St. Jude Global. Opportunities exist to develop novel imaging biomarkers and AI tools that impact patient care, clinical trials, population science, and research. In addition to internal institutional funding opportunities, faculty are supported through mentorship and infrastructure aimed at securing extramural grants from agencies such as the NIH, foundations, and industry partners. This environment provides a powerful foundation for faculty to pursue transformative imaging research that directly impacts patient care, clinical trials, and global pediatric initiatives.
Education:
Education is an important component of our mission. Faculty have the opportunity to teach and mentor radiology fellows, radiology residents, medical students, graduate students, and postdoctoral fellows. St. Jude supports professional development by providing travel funds for faculty presentations at national and international conferences. The department hosts an annual international educational conference and a separate scientific symposium. In February 2026, St. Jude will co-host a Pediatric Oncologic Imaging Course with the Society for Pediatric Radiology (SPR). Faculty actively participate in institutional and national educational initiatives.
Compensation and Environment:
St. Jude is an Equal Opportunity Employer. St. Jude does not discriminate on the basis of race, national origin, sex, genetic information, age, religion, disability, sexual orientation, gender identity, transgender status, veteran's status or disabled veteran's status with respect to employment opportunities. All qualified applicants will be considered for employment. We value different perspectives and intellectual discourse. We are committed to building an intellectually diverse community.
Requirements:
Candidates must have an MD, DO or equivalent degree, be board certified or eligible by the American Board of Radiology and have experience in pediatric radiology or oncologic imaging. Applicants must qualify for medical licensure in the State of Tennessee.
To Apply:
Please submit a CV directly online at https://talent.stjude.org/careers:
For more information:
Andrew Smith, MD PhD
Chair of the Department Radiology and Body Radiologist
Endowed Chair of Diagnostic Imaging
St. Jude Children's Research Hospital
andrew.smith@stjude.org
St. Jude is an Equal Opportunity Employer
No Search Firms
St. Jude Children's Research Hospital does not accept unsolicited assistance from search firms for employment opportunities. Please do not call or email. All resumes submitted by search firms to any employee or other representative at St. Jude via email, the internet or in any form and/or method without a valid written search agreement in place and approved by HR will result in no fee being paid in the event the candidate is hired by St. Jude.

What St. Jude Children's Research Hospital employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom