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Clinical Ai Informatics Jobs in Baltimore, MD (NOW HIRING)

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Clinical Ai Informatics information

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$51.7K

$102.9K

$163K

How much do clinical ai informatics jobs pay per year?

As of Aug 24, 2026, the average yearly pay for clinical ai informatics in Baltimore, MD is $102,938.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $114,800.00 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 Baltimore, MD?

For Clinical Ai Informatics jobs in Baltimore, MD, the most frequently searched job titles are:

What job categories do people searching Clinical Ai Informatics jobs in Baltimore, MD look for?

The top searched job categories for Clinical Ai Informatics jobs in Baltimore, MD are:

What cities near Baltimore, MD are hiring for Clinical Ai Informatics jobs?

Cities near Baltimore, MD with the most Clinical Ai Informatics job openings:

Clinical Ai Informatics jobs near you
Infographic showing various Clinical Ai Informatics job openings in Baltimore, MD as of August 2026, with employment types broken down into 3% As Needed, 72% Full Time, 17% Part Time, and 8% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $102,938 per year, or $49.5 per hour.

Vice Chair for Research | Director, Emergency Medicine Informatics

Baltimore, MD • On-site

AzCEP
See more jobs at AzCEPexternal

$190 - $270/hr

Other

Posted 3 days ago

New

Job description

ViceChairforResearch|Director,EmergencyMedicineInformaticsUniversityofMarylandSchoolofMedicine|UniversityofMarylandInstituteforHealthComputingPositionOverview

The Department of Emergency Medicine at the University of Maryland School of Medicine (UMSOM), in partnership with the University of Maryland Institute for Health Computing (UM-IHC), invites applications for a tenured or tenure-track faculty position at the rank of Associate Professor or Full Professor. The successful candidate will serve as Vice Chair for Research in the Department of Emergency Medicine and hold a joint appointment at UM-IHC as Director of Emergency Medicine Informatics, providing strategic and scientific leadership at the intersection of emergency medicine and health data science.

The following is an exceptional opportunity for a clinician-scientist with a strong foundation in biomedical informatics, clinical artificial intelligence, or health data science to build and lead a nationally recognized research program, shape the informatics infrastructure of real-world emergency care settings, and mentor the next generation of physician-informaticists.

Key Responsibilities DepartmentalLeadership(ViceChairforResearch)

  • Serve as Vice Chair for Research in the Department of Emergency Medicine, providing strategic oversight of the department's research portfolio, mentoring faculty in grant development, and representing the department on institutional research committees.
  • Work collaboratively with the Department Chair to develop and execute a departmental research strategic plan, recruit research-oriented faculty, and build the infrastructure necessary to support a thriving academic research enterprise.
  • Oversee departmental research operations including coordination with sponsored programs, IRB compliance, and research administration.

Informatics Leadership (Director Role at UM-IHC)

  • Serve as the strategic and scientific Director of Emergency Medicine Informatics within UM-IHC, setting the research agenda and overseeing related programs and personnel.
  • Lead the design, implementation, and evaluation of clinical decision support tools, predictive models, and AI/ML-enabled workflows within the emergency department.
  • Partner with the Department’s Center for EM Data Analytics and Reporting (CEDAR), informatics, data engineering, and IT teams to optimize EHR-integrated clinical workflows and ensure high-quality data capture for research and quality improvement.
  • Partner with CEDAR to develop and oversee emergency medicine data assets, including clinical registries, real-world data pipelines, and federated data networks.
  • Establish and maintain collaborative relationships with industry, government agencies, and other academic medical centers to advance the field.
  • Represent emergency medicine informatics interests on UM-IHC governance bodies, UMSOM committees, and external advisory boards.

Research & Scholarship

  • Develop and maintain a funded, independent research program in emergency medicine, with a focus on informatics areas such as clinical AI/ML, natural language processing of clinical text, predictive analytics, clinical decision support, or large language model applications in acute care.
  • Seek and successfully compete for extramural funding from the NIH, AHRQ, PCORI, NSF, foundations, and/or industry sponsors.
  • Produce high-impact peer-reviewed publications and present findings at national and international conferences.
  • Collaborate across departments and schools on multi-disciplinary research initiatives involving clinical informatics, biostatistics, population health, and health services research.
  • Contribute to and lead multi-site research consortia and learning health system initiatives.
ClinicalPractice
  • Maintain board-certified clinical practice in emergency medicine, with shifts commensurate with academic appointment and research productivity.
  • Contribute clinical expertise to the design and testing of informatics tools and AI-enabled interventions in real-world emergency care settings.

Education & Mentorship

  • Mentor medical students, residents, fellows, and junior faculty interested in clinical informatics, AI, and data science.
  • Contribute to curriculum development in health informatics, data science, and evidence-based medicine across graduate medical education and fellowship programs.
  • Participate in teaching activities within the School of Medicine and, as appropriate, affiliated schools of public health, nursing, and pharmacy.

Required Qualifications

  • M.D., D.O., or M.D./Ph.D. (or equivalent terminal degree) with board certification or board eligibility in Emergency Medicine.
  • Eligibility for medical licensure in Maryland.
  • Demonstrated record of peer-reviewed publications and extramural funding commensurate with appointment at the Associate Professor or Full Professor level.
  • Substantial expertise in at least one of the following: artificial intelligence, machine learning, clinical decision support systems, EHR data science, learning health systems.
  • Experience with large-scale clinical data analysis, including structured and unstructured EHR data, administrative claims, or other real-world data sources.
  • Evidence of leadership in informatics, data science, or a related field (e.g., program leadership, center directorship, or national committee work).
  • Strong written and oral communication skills and a collaborative approach to interdisciplinary research.

Preferred Qualifications

  • Formal training in biomedical informatics, clinical data science, or a related field.
  • Subspecialty certification in clinical informatics.
  • Active NIH or AHRQ funding as principal investigator.
  • Experience with federated learning, privacy-preserving data analysis, or multi-site clinical data networks (e.g., PCORnet, CTSA consortium, USCDI).
  • Familiarity with regulatory and ethical frameworks for AI in clinical settings, including FDA guidance on SaMD and algorithmic bias mitigation.
  • Track record of successful translational informatics projects from research to clinical implementation.
  • Experience mentoring individuals from underrepresented groups in medicine and data science.
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