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Clinical Ai Informatics Jobs (NOW HIRING)

CentralReach

Clinical AI Evaluation Specialist

$90K - $115K/yr

As a Clinical AI Evaluation Specialist on CentralReach's AI Governance team, you will be ... Background in clinical informatics, research methodology, or systematic quality improvement.

CVS Health

Data Scientist - Clinical AI

New York, NY

... clinical informatics, and hypothesis-driven approaches to transform data into actionable, customer ... Our teams build next-generation data and AI products that help power CVS Health to make healthier ...

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Clinical Ai Informatics information

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$52K

$103.6K

$164K

How much do clinical ai informatics jobs pay per year?

As of Jul 5, 2026, the average yearly pay for clinical ai informatics in the United States is $103,597.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $115,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Clinical AI Informatics Specialist, and why are they important?

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.

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.

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 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.
More about Clinical Ai Informatics jobs
What cities are hiring for Clinical Ai Informatics jobs? Cities with the most Clinical Ai Informatics job openings:
What states have the most Clinical Ai Informatics jobs? States with the most job openings for Clinical Ai Informatics jobs include:
What job categories do people searching Clinical Ai Informatics jobs look for? The top searched job categories for Clinical Ai Informatics jobs are:
Clinical Ai Informatics jobs near you
Infographic showing various Clinical Ai Informatics job openings in the United States as of June 2026, with employment types broken down into 7% Full Time, and 93% Part Time. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $103,597 per year, or $49.8 per hour.

Clinical Informatics Researcher

Dandelion Health, Inc

New York, NY • On-site

$155K - $170K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 17 days ago

Job description

Our Team
Dandelion Health was founded in 2020 by experts in health tech, hospital systems, academia, and clinical AI. We are building the world's largest AI training and clinical development platform. Today, we pride ourselves on our ability to make data access as easy as possible for AI developers, pharma, and medical devices, while raising the bar for patient safety and data quality. Tomorrow, we will be the place where any healthcare organization can go to build a responsible clinical AI product. Our culture is all about learning from data and improving, so we can help our clients improve health through AI. Meet the rest of our team here.
Our Data
We partner with health systems to safely and ethically make their de-identified patient data available to AI developers. Currently, the data is acquired from Sharp HealthCare, Sanford Health, and Texas Health Resources - with two additional U.S. health systems joining soon.
We have clinical data dating back to July 1, 2016. This data represents over 10 million patients and includes but is not limited to:
  • Structured data (e.g., 100% of the EMR, including some claims)
  • Unstructured text (e.g., clinical notes, radiology reports)
  • Images (e.g., DICOM, pathology)
  • Video
  • Waveforms
  • Continuous streaming monitoring data

Your Role
You are a technically strong, clinically trained individual with a health informatics and research background who knows your way around clinical and health record data. Your primary responsibility is to own and be responsible for interpreting and analyzing data from hospital systems and clinical workflows, in order to (1) develop meaningful Dandelion data models that accurately represent a patient's healthcare journey and (2) advise on use of these data for meaningful clinical research projects characterizing disease progression, patient phenotyping and care trajectories. This role bridges clinical practice and informatics knowledge by guiding the representation of clinical concepts, workflows, and outcomes within scalable data models used for regulatory-grade evidence generation.
You are not afraid to dig into massive new datasets and get them under control. You are excited to learn new environments, languages, and skills. This is a small, early stage company with enormous ambitions.
Your day-to-day priorities will include utilizing data analysis tools to explore clinical data within the Dandelion and health system environments. This will include the following:
  • Querying complex source systems in a range of health data sources (e.g., EMRs, ECG data, DICOM data) to identify and map data tables and their contents.
  • Defining and governing clinical vocabularies, ontologies, and phenotypes and ensuring that client datasets accurately reflect real world care delivery, clinical decision making, and patient trajectories.
  • Developing Dandelion data models by reconciling different healthcare system's datasets and mapping data fields to standardized clinical ontologies, to enable harmonization across disparate health systems and ensure data elements reflect clinical concepts.
  • Advise on development of clinical research studies using Dandelion data models, including study design, protocol development, dataset definition, analysis, and reporting.
  • Partner closely with data scientists to translate research questions and potential studies into operationalized datasets and key variables, leveraging your clinical and data knowledge.
  • Validate clinical accuracy, interpretability, and appropriate use of data while proactively identifying risks related to data quality, misrepresentation, or misuse.
  • Guiding clinical informatics decisions on choice of clinical vocabularies and ontologies (e.g., ICD, SNOMED, LOINC, CPT) and concept harmonization and terminology mapping strategies based on data use cases.
  • Supporting all phases of SQL/analytical programming, data management, quality control, and reporting on our informatics approach.
  • Ensure accuracy, data integrity, and validity of data and analysis in all work.

Qualifications
  • Healthcare provider (MD, DO, or NP with training in a broad clinical discipline) preferred; or M.S. or PhD degree in a relevant clinical field
  • Clinical informatics certification (AMIA or ABMS), completion of a clinical informatics fellowship, or at least two years direct clinical informatics experience
  • At least two years of clinical practice experience, supporting a strong understanding of real world clinical workflows and how clinical care is represented in structured, unstructured, and multimodal data
  • At least one year of experience in clinical research and working on retrospective studies, including designing study objectives, eligibility criteria and study endpoints, ensuring alignment with scientific standards and clinical research best practices
  • At least one year of experience querying EHR data (fluency in SQL required; experience or familiarity with tools such as dbt and Python strongly desirable). Experience with Epic and/or Cerner systems a huge plus
  • Strong expertise in clinical terminologies, ontologies, and data standards, including LOINC, SNOMED, CPT, HCPCS, RxNorm, NDC, and OMOP (or equivalent common data models)
  • Strong technical writing and communication skills along with a collaborative mindset and willingness to support cross-functional teams
  • Excellent organizational skills with an ability to embrace change and effectively manage multiple projects and consistently plan work to meet deadlines
  • Experience working with startups is a plus

Nature of our work
Our work is fast paced and iterative. We are growing, and we want to support our team members to grow in their skills as well. We are building a team that approaches problems with a diversity of perspectives, values experimentation, and refining our approach based on that experimentation. We work with the full spectrum of healthcare data from tabular data, videos, images, waveforms, etc. If a health system collects it, we might work with it!
If this looks like a partial fit, please reach out, we would love to share more about the work we do for you to understand if it would be a good fit for you.
There is occasional travel for in-person company working days on roughly a quarterly basis.
Team Benefits
  • Remote work and flexible hours. Availability needed for meetings, which we try to keep to a healthy minimum
  • Complete wellness benefits including healthcare, dental, vision, PTO, sick days and more. Ask for details
  • Professional development days to build your skills
  • Collegial work environment
  • Academic bent towards inquiry and problem solving but start-up speed and flexibility
  • Great balance of focus time to work on projects but easy to access team members to discuss issues and work collaboratively
  • Dandelion is a mission-driven company that is focused on improving patient care

Apply