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Clinical Ai Informatics Jobs in Augusta, GA (NOW HIRING)

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Clinical Ai Informatics information

See Augusta, GA salary details

$48.9K

$97.4K

$154.2K

How much do clinical ai informatics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for clinical ai informatics in Augusta, GA is $97,381.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $108,600.00 per year, depending on experience, location, and employer.

What is clinical AI informatics?

Clinical AI Informatics is a specialized field that combines artificial intelligence (AI) and informatics to improve healthcare delivery, diagnostics, and patient outcomes. Professionals in this area develop, implement, and manage AI tools and data systems that help clinicians analyze complex medical data and make evidence-based decisions. Their work includes integrating AI algorithms into electronic health records, supporting predictive analytics, and ensuring data privacy and regulatory compliance. By leveraging advanced technologies, Clinical AI Informatics aims to make healthcare more efficient, accurate, and personalized.

What are the key skills and qualifications needed to thrive as a clinical AI informatics specialist?

To thrive as a Clinical AI Informatics Specialist, you need a strong background in healthcare, data analysis, and artificial intelligence, typically supported by degrees in health informatics, computer science, or related fields. Familiarity with clinical information systems, machine learning tools, programming languages like Python or R, and relevant certifications (e.g., Certified Professional in Healthcare Information and Management Systems) is highly valuable. Strong problem-solving abilities, communication skills, and a collaborative mindset help bridge the gap between technical teams and clinical stakeholders. These competencies ensure effective implementation of AI solutions that improve patient outcomes and streamline healthcare operations.

How does a clinical AI informatics professional typically collaborate with clinicians and IT teams to implement AI-driven solutions in healthcare settings?

Clinical AI Informatics professionals serve as a bridge between clinical staff and IT departments, facilitating the integration of AI tools into healthcare workflows. They work closely with clinicians to understand patient care needs and ensure that AI solutions align with clinical protocols. Simultaneously, they collaborate with IT teams to address data integration, system interoperability, and regulatory compliance. Effective communication and stakeholder management are critical, as these professionals must translate technical requirements into practical, patient-centered applications.

What is the difference between Clinical Ai Informatics vs Clinical Data Analyst?

AspectClinical Ai InformaticsClinical Data Analyst
Required CredentialsHealthcare background, data science or informatics certifications, programming skillsHealthcare or data analysis degrees, statistical knowledge, data management skills
Work EnvironmentHospitals, healthcare tech companies, research institutionsHospitals, clinics, healthcare organizations, research settings
Employer & Industry UsageHealthcare technology firms, hospitals, research institutionsHealthcare providers, clinics, health insurance companies
Common Search & Comparison IntentUnderstanding roles involving AI in clinical settingsAnalyzing clinical data for insights and reporting

Clinical Ai Informatics focuses on integrating artificial intelligence into healthcare workflows, requiring expertise in AI, programming, and healthcare systems. In contrast, Clinical Data Analysts primarily analyze clinical data to generate reports and insights, often with a focus on statistical analysis and data management. Both roles are vital in healthcare but differ in technical focus and responsibilities.

What are popular job titles related to Clinical Ai Informatics jobs in Augusta, GA?

For Clinical Ai Informatics jobs in Augusta, GA, the most frequently searched job titles are:

What job categories do people searching Clinical Ai Informatics jobs in Augusta, GA look for?

The top searched job categories for Clinical Ai Informatics jobs in Augusta, GA are:

What cities near Augusta, GA are hiring for Clinical Ai Informatics jobs?

Cities near Augusta, GA with the most Clinical Ai Informatics job openings:

Clinical Ai Informatics jobs near you

Vice Chair of Research Department of Emergency Medicine

Association of American Medical Colleges

Augusta, GA • On-site

$180 - $290/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Medical College of Georgia at Augusta University

The Department of Emergency Medicine at the Medical College of Georgia (MCG) invites applications for a Vice Chair of Research faculty position. We are seeking a dynamic, collaborative physician to join our growing academic department dedicated to excellence in patient care, education, and research.This position is a unique leadership opportunity for a clinician researcher with expertise in clinical informatics, applied artificial intelligence (AI), and data driven research to advance an integrated research enterprise at the intersection of emergency care and health technology.

This position will be a joint appointment within the Departments of Emergency Medicine and Artificial Intelligence & Health. FTE will be split between the 2 departments.

The Medical College of Georgia at Augusta University is the state of Georgia's only public medical school. The impact spans from its founding nearly 200 years ago, in 1828, as one of the nation's first medical schools to its current role optimizing health and health care in Georgia and beyond through education, discovery, and service.

Position Overview:

The Vice Chair of Research will provide strategic leadership and operational oversight for the Department of Emergency Medicine’s research mission through the promotion of cross-disciplinary collaboration in clinical informatics, machine learning, and learning health systems.

Key responsibilities include:
  • Developing and implementing a forward-looking research strategy integrating emergency care, health data science, and AI
  • Building and sustaining externally funded research programs, including federal, foundation, and industry partnerships
  • Advancing the use of large-scale clinical datasets, real-world data, and machine learning approaches to improve patient outcomes and operational efficiency
  • Mentoring faculty, fellows, and trainees in informatics, implementation science, and data-driven research methods
  • Strengthening research infrastructure, including data pipelines, analytics platforms, and interdisciplinary team science
  • Collaborating across departments and institutional initiatives in AI, digital health, and clinical decision support systems
Clinical Role

The position includes protected time for research leadership and scholarship alongside a clinical practice in Emergency Medicine at Wellstar MCG Health.

The clinical environment includes:
  • State-of-the-art academic medical center with a Level I trauma center, comprehensive stroke center, and ACC-accredited chest pain center
  • Academic pediatric emergency care at the Children’s Hospital of Georgia
  • High-acuity emergency department with approximately 80,000 annual visits, providing a rich setting for clinical and translational research
Qualifications Required:
  • MD or DO degree with board certificationin Emergency Medicine
  • Demonstrated expertise and/or commitment to clinical informatics, AI in healthcare, or data science applications in clinical research
  • Experience working with large clinical datasets, including electronic health records, registries, or digital health data
  • Established track record of research productivity and program development
  • Demonstrated experience in collaborating with clinical investigators and multidisciplinary teams, including applied or translational research settings
  • Experience mentoring trainees or junior investigators in a collaborative, team-based research environment
Preferred:
  • Experience with machine learning, natural language processing, large language models (LLMs), or clinical decision support systems
  • Prior success in securing extramural funding (e.g., NIH, AHRQ, DoD, industry)
  • Formal training or certification in clinical informatics or related disciplines
  • Expertise in developing research programs in specialized areas such as trauma, military medicine, pre-hospital care, POCUS, or medical education.
Opportunity Highlights
  • Joint appointment bridging clinical medicine and AI innovation
  • Access to expanding institutional investments in AI, data infrastructure, and interdisciplinary research
  • Opportunity to shape a modern academic research program, including learning health systems, data interoperability, and responsible AI
  • Support for faculty development, collaboration, and growth in a rapidly evolving academic environment
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