1

Clinical Ai Jobs (NOW HIRING)

As a Clinical AI Specialist, you will contribute your medical expertise to design realistic clinical scenarios, evaluate AI-generated outputs, and help improve how advanced models reason about ...

As a Clinical AI Evaluation Specialist on CentralReach's AI Governance team, you will be responsible for defining what "good" looks like for CentralReach's AI outputs and enhancing the evaluation and ...

Director, Clinical AI

New York, NY · Hybrid

$87K - $119K/yr

As we build and scale the AI arm of our clinical operations, we are looking for a Director, Clinical AI to serve as the clinical backbone of this work, bridging care delivery, product development ...

Director, Clinical AI

New York, NY · On-site

$87K - $119K/yr

With Sona, our voice-first AI Mental Health Specialist, Pelago now applies that same clinically-driven model to mental health, pairing deep clinical expertise with technology to expand access without ...

The Data Science / Clinical AI function is seeking a Clinical AI Data Specialist to ensure the clinical accuracy of the training data, model output labels, and clinical logic -- prompts and coding ...

The Data Science / Clinical AI function is seeking a Clinical AI Data Specialist to ensure the clinical accuracy of the training data, model output labels, and clinical logic - prompts and coding ...

Through our AI-native platform, MosaicOS™, we unite fragmented technologies into a single, intelligent ecosystem designed to help clinical teams work faster, think smarter and deliver better care.

next page

Showing results 1-20

Clinical Ai information

See salary details

$14

$34

$90

How much do clinical ai jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for clinical ai in the United States is $34.62, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $32.93 per hour, depending on experience, location, and employer.

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

To thrive as a Clinical AI Specialist, you need a strong background in healthcare, data science, and machine learning, typically supported by degrees in computer science or biomedical engineering and relevant healthcare experience. Familiarity with programming languages like Python, healthcare data standards (such as HL7 or FHIR), and AI platforms is crucial, along with certifications in AI or clinical informatics. Strong problem-solving, collaboration, and communication skills help bridge the gap between technical teams and clinical stakeholders. These skills are vital to ensure that AI solutions are effectively designed, accurately implemented, and safely integrated into clinical workflows to improve patient outcomes.

How does a Clinical AI professional typically collaborate with healthcare providers and data scientists on projects?

Clinical AI professionals often serve as a bridge between healthcare providers and technical teams, working closely with clinicians to understand medical workflows and identify areas where AI can enhance patient care. They collaborate with data scientists to translate clinical requirements into technical specifications and validate AI models for clinical accuracy and safety. Regular interdisciplinary meetings, joint problem-solving sessions, and shared project management tools are common in this environment, facilitating effective communication and alignment on project goals.

What is a Clinical AI professional?

A Clinical AI professional is someone who applies artificial intelligence and machine learning techniques to healthcare settings, particularly to improve clinical decision-making, diagnostics, and patient outcomes. These professionals work at the intersection of technology, medicine, and data science, developing algorithms that can analyze medical data and assist clinicians. Their work may involve tasks such as building predictive models, automating image analysis, or supporting personalized medicine initiatives. Clinical AI professionals typically collaborate with healthcare providers, researchers, and technologists to ensure that AI tools are safe, effective, and aligned with clinical needs.

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

AspectClinical AiClinical Data Analyst
Required CredentialsTypically requires knowledge of AI, machine learning, and healthcare dataRequires a degree in health informatics, data science, or related fields
Work EnvironmentDevelops and implements AI models in healthcare settingsAnalyzes clinical data to support decision-making in healthcare
Employer & Industry UsageUsed by healthcare tech companies, hospitals, and research institutionsEmployed by hospitals, clinics, and healthcare organizations

Clinical Ai focuses on developing AI-driven solutions for healthcare, requiring technical expertise in AI and machine learning. Clinical Data Analysts interpret clinical data to improve patient care, often with a background in health informatics. While both roles work within healthcare, Clinical Ai is more technical and development-oriented, whereas Clinical Data Analysts focus on data analysis and reporting.

More about Clinical Ai jobs
What cities are hiring for Clinical Ai jobs? Cities with the most Clinical Ai job openings:
What states have the most Clinical Ai jobs? States with the most job openings for Clinical Ai jobs include:
Infographic showing various Clinical Ai job openings in the United States as of July 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $72,002 per year, or $34.6 per hour.

Clinical AI Implementation Lead

Clinically AI

San Diego, CA • On-site

Full-time

Medical

Posted 21 days ago


Job description

Clinically AI is a healthcare technology company transforming how clinicians document care, complete audits, and manage administrative workflows through artificial intelligence. Our platform reduces administrative burden, improves operational efficiency, and helps behavioral health and healthcare organizations focus more on care delivery and less on documentation and compliance overhead. Built with a strong emphasis on clinical usability, regulatory alignment, and workflow integration, we operate in a fast-growing and rapidly evolving AI healthcare market where adoption, trust, and execution matter.
We are seeking a Clinical AI Implementation Lead to join our team in a hybrid role, working on-site in our San Diego office Monday through Thursday. In this role, you will own end-to-end implementation, adoption, and workflow enablement for enterprise behavioral health and healthcare customers using the Clinically AI platform.
This is not a traditional software implementation role focused only on deployment and go-live milestones. Success in this position is measured by sustained usage, behavioral adoption, and long-term workflow integration across clinical, compliance, audit, and operational teams. You will help organizations become AI-native by guiding clinicians, administrators, and leadership teams through the transition from cautious experimentation to confident daily usage. You will help customers operationalize AI in a way that becomes embedded into daily clinical and administrative workflows
This role combines project management, workflow consulting, AI configuration, stakeholder leadership, and organizational change management. You will serve as the primary strategic and operational partner for customers throughout implementation and adoption, helping them integrate AI into real clinical and administrative workflows in a way that is practical, compliant, and sustainable over time.
This is a highly cross-functional role requiring strong communication, systems thinking, empathy, and operational leadership. You must be comfortable working across executives, therapists, compliance leaders, IT stakeholders, and frontline staff while maintaining clarity, momentum, and trust throughout the customer journey.
KEY ATTRIBUTES TO SUCCEED
  • Adoption-Focused Mindset: You measure success by sustained usage, workflow integration, and customer outcomes rather than simply completing implementation milestones.
  • Strong Project and Program Management: You are able to manage complex, multi-stakeholder implementations across clinical, operational, compliance, and technical teams while maintaining alignment and execution momentum.
  • Empathy and Change Leadership: You are comfortable guiding clinicians, administrators, and operational teams through uncertainty or skepticism related to AI adoption and new workflows.
  • AI-Native Thinking: You actively use AI tools in your own work and understand prompting, structured outputs, workflow automation, and practical AI application in operational environments.
  • Clinical Workflow Fluency: You understand healthcare and behavioral health documentation workflows, compliance requirements, and how clinicians and audit teams operate in practice.
  • Communication and Stakeholder Alignment: You are able to communicate effectively with executive sponsors, therapists, compliance teams, IT leaders, and frontline users while adapting your communication style to different audiences.
  • Systems and Operational Thinking: You understand how implementation, training, adoption, support, workflow optimization, and customer success connect into a unified operational system.
  • Thriving in a Fast-Paced Environment: You operate effectively in a high-growth startup where priorities evolve quickly and speed of execution matters.

REQUIRED:
  • 5+ years of experience in healthcare technology implementation, consulting, or clinical operations leadership
  • Demonstrated experience owning enterprise-grade implementations from kickoff through stabilization, with full ownership of project plan, configuration, training, and adoption
  • Hands-on experience with EHR systems, clinical documentation workflows, and clinician training
  • Strong track record in change management and adoption, particularly with users who are new to a technology or cautious about it
  • Active, daily user of AI tools in your own work (LLMs, prompt engineering, structured outputs)
  • Excellent communication and persuasion skills, comfortable presenting to executive leadership, leading clinician training, and working across stakeholder groups

PREFERRED BUT NOT REQUIRED (Nice to Have):
  • Behavioral health, substance use, IDD, or human services experience
  • Familiarity with chart auditing, utilization review, compliance auditing, or quality assurance workflows
  • Familiarity with compliance frameworks such as Joint Commission, CARF, Medicaid requirements, and ASAM Criteria
  • Hands-on experience with AI-powered documentation tools or ambient listening technologies
  • Background as a behavioral health clinician (LCSW, LPC, LMFT, LMHC, LPCC, psychologist, etc.)
  • Experience scaling an implementation function in an early-stage SaaS environment

This is a full-time hybrid position based in San Diego, CA, with on-site work required Monday through Thursday and up to 20% domestic travel for customer onboarding, training, workshops, and go-live support. Clinically AI is a high-growth early-stage company, and we are intentional about building a strong in-person culture where collaboration, speed, customer feedback, and operational execution are central to success.
We offer competitive compensation, performance-based incentives, healthcare coverage, and flexible time off. The base salary range for this role is $100,000-$150,000 annually, depending on experience, healthcare implementation expertise, customer-facing leadership experience, demonstrated performance, and overall scope alignment. This role is also eligible for a target annual bonus equal to 10% of base salary, with bonus payouts evaluated quarterly based on achievement of both company and individual performance goals. In certain cases, we may consider candidates outside of this range whose background, clinical workflow knowledge, implementation track record, or healthcare AI experience strongly aligns with the needs of the role.
The interview process includes an initial screening interview, followed by 2 onsite interviews focused on clinical workflow understanding, AI fluency, project management, stakeholder leadership, and adoption strategy, with a final conversation with the CEO. Final candidates will complete a hiring exercise involving AI workflow configuration and a customer adoption strategy exercise designed to assess systems thinking, implementation judgment, and organizational change management approach.
Due to high interest, we will only respond to candidates who meet the basic qualifications.
Clinically AI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or genetics.