ZipRecruiter

Log In

1

Clinical Ai Informatics Jobs in Ohio (NOW HIRING)

Trudell Medical Group

You'll also define the clinical ground truth that underpins and constrains our AI capabilities ... Graduate degree in health, clinical, or biomedical informatics - or equivalent formal certification ...

Philips International

$90 - $130/hr

... Health Informatics, Data Science).* Residency & Advanced Training in Diagnostic Radiology ... Experience with developing AI-features in Radiology/Ultrasound.* Experience with developing ...

Sapio Sciences, LLC

OH · On-site

$60 - $100/hr

... informatics platform that helps organisations move faster, work smarter, and generate deeper ... Within our platform, AI enhances how laboratories structure, interpret, and act on scientific data.

next page

Showing results 1-20

All JobsClinical Ai Informatics JobsClinical Ai Informatics Jobs in Ohio

Clinical Ai Informatics information

See Ohio salary details

$49.4K

$98.5K

$155.9K

How much do clinical ai informatics jobs pay per year?

As of Sep 5, 2026, the average yearly pay for clinical ai informatics in Ohio is $98,489.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $109,800.00 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 Ohio?

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

What job categories do people searching Clinical Ai Informatics jobs in Ohio look for?

The top searched job categories for Clinical Ai Informatics jobs in Ohio are:

What cities in Ohio are hiring for Clinical Ai Informatics jobs?

Cities in Ohio with the most Clinical Ai Informatics job openings:

Clinical Ai Informatics jobs near you
Infographic showing various Clinical Ai Informatics job openings in Ohio as of August 2026, with employment types broken down into 2% As Needed, 73% Full Time, 16% Part Time, 1% Temporary, and 8% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $98,489 per year, or $47.4 per hour.

Clinical Informatics Lead

Trudell Medical Group

On-site

Full-time

Medical, Dental, Vision, Life

Posted 10 days ago

Job description

Aetonix is a digital health company building a chronic care management platform for U.S. health systems, clinics, and ACOs. Our product has two faces:
  • A mobile app that helps Medicare patients (65+) complete simple, guided check-ins, and
  • A desktop app that helps care teams know which patients need them most - and act.

We are backed by Trudell Medical International (TMI), a Canadian-headquartered medical device company. We operate with patient capital and startup urgency.
The next 6 months are about proving product-market fit with real clinical evidence in a category where fewer than 4% of eligible U.S. patients are currently receiving the care they are entitled to.
This is a Full Time Remote opportunity based in Canada or the United States.
THE OPPORTUNITY
Aetonix is looking for a hands-on clinical informatics leader to shape the clinical backbone of our multi-condition, respiratory-native care management platform. In this role, you'll own the critical translation of clinical best practice into the structured, computable logic that powers everything we build - converting established clinical guidelines into versioned digital care pathways, defining our clinical data model and terminology standards, and running the governance processes that keep our clinical content safe, evidence-based, and aligned with an evolving regulatory landscape.
You'll also define the clinical ground truth that underpins and constrains our AI capabilities, ensuring that as the platform grows more intelligent, it stays grounded in sound clinical reasoning. This is a high-impact, cross-functional role: you'll report directly to the Chief Technology Officer, maintain a close working relationship with clinical leadership, and collaborate daily with product and engineering teams to bring clinical rigor directly into the heart of the platform.
If you're energized by working at the intersection of clinical practice, data structure, and emerging AI technology - and want your expertise to directly shape a platform used in real-world respiratory care - we'd love to hear from you.
WHAT YOU'LL OWN
  • Care pathway engineering. Translate clinical best-practice guidelines into structured, parameterized digital care pathways - starting with respiratory conditions like COPD and asthma and extending to common comorbidities (heart failure, hypertension, diabetes) as layered protocols on a shared engine, including patient goals, symptom checks, vitals, PROs, and educational content.
  • Parameter & data-capture design. Determine the optimal clinical parameters and alerting thresholds for each condition, and decide how each is best captured - self-reported, acoustic, rPPG, or via connected devices - balancing clinical value, patient burden, and data reliability, while designing how information flows to care teams so they can practice "top of license."
  • Clinical content governance. Own the clinical content lifecycle end-to-end: authoring standards, versioning, change control, and the review-and-approval workflow through which clinical leadership signs off before content reaches patients - keeping everything audit-ready and traceable.
  • Regulatory-aware architecture. Stay attuned to how pathway and knowledge-engineering decisions affect regulatory classification, supporting a modular architecture that isolates predictive/interpretive (SaMD) capabilities from non-diagnostic ones.
  • Clinical data model & terminology. Define and maintain the platform's canonical clinical data model and govern the standardized vocabularies (ICD-10-CM, SNOMED CT, LOINC, RxNorm, CPT/HCPCS) that keep data consistent, comparable, and shareable - including how it's structured for exchange via HL7 FHIR and USCDI in preparation for EHR integration.
  • AI clinical grounding. Define the clinical ground truth, acceptance criteria, and human-review checkpoints that keep AI features - care plan extraction, alerting, patient-facing content - clinically sound, safe, and appropriately gated, while serving as the clinical authority on release readiness and ongoing model monitoring.
  • Quality measures & evidence. Ensure the platform captures the data needed for HRRP, HEDIS, eCQMs, and UDS reporting, and structure clinical data to support the company's evidence program - validated endpoints, outcomes analysis, and study-grade data for formal HTA frameworks.
  • Embedded clinical partnership. Act as the clinical-domain partner to patient, care-team, and AI squads - translating clinical intent into engineering-ready requirements and surfacing technical constraints back to clinical stakeholders.

WHO YOU ARE
  • A builder - most energized when you are defining something new, not optimizing something established.
  • Mission-driven - you care about patients and want your work to have a real impact on how chronic disease is managed.
  • Humble enough to learn from a care coordinator, confident enough to push back on an engineering constraint, and clear enough to explain both to a President.
  • Genuinely curious about AI - you read about how models are trained and evaluated, experiment on your own time, and treat AI/ML as a craft to develop, not a capability to delegate.

WHAT YOU BRING
  • Graduate degree in health, clinical, or biomedical informatics - or equivalent formal certification (e.g., nursing informatics board certification, clinical informatics subspecialty certification).
  • 7+ years of progressive experience in clinical informatics, digital health, or health information technology.
  • Direct, hands-on experience translating clinical guidelines or protocols into structured, computable artifacts - care pathways, order sets, clinical decision support rules, or equivalent.
  • Working command of core clinical terminologies and standards, including ICD-10-CM, SNOMED CT, LOINC, and RxNorm.
  • Strong working knowledge of chronic disease management, particularly respiratory conditions such as COPD and asthma, along with common comorbidities (heart failure, hypertension, diabetes).
  • Practical familiarity with HL7 FHIR and experience supporting or preparing for EHR interoperability/integration work.
  • We recognize this field is moving fast and that deep AI/ML expertise in a clinical context is rare. If you are not quite there yet but are actively putting in the reps - reading about evals, building things outside of work, treating AI as a serious area of craft development - we want to hear from you. That orientation matters as much as the credential.

WHAT WE OFFER:
  • An agile, dynamic and motivated team working together in a fast-growing company that is changing the future of virtual care
  • The ability to make a real difference in people's lives
  • Health insurance including medical, dental, vision and life

Aetonix Systems Inc. is committed to providing fair and equitable compensation opportunities to all teammates. The range displayed on each job posting reflects the target for new hire salaries for the advertised position. Within the range, individual compensation is determined by job-related skills and knowledge, relevant professional, lived experience, and/or work location. Our compensation policies and practices are designed to allow our colleagues' growth and salary progression as they develop in their role. As a candidate, you are encouraged to ask compensation-related questions and have an open dialogue with your recruiter, who can provide specific details for this role and share more information about our total rewards package.
As part of our recruitment process, we may use AI tools to screen applicants and assist in evaluating candidate qualifications. All final hiring decisions are made by our recruitment team.
We are an equal opportunity employer and it is important to our Company that all its employees, including those with disabilities, find our workplace to be welcoming and supportive. If you are a candidate with a disability who requires accommodations during the recruitment process, please let us know.

Apply