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Health Ai Jobs (NOW HIRING)

Sr. Applied AI Health Software Engineer

Sunnyvale, CA · On-site

$143K - $189K/yr

Description As a Health AI Engineer, you will architect and implement features that bring the power of generative AI to Apple's health sensors and data to help people improve their health & wellbeing.

Lead Bayesian Health's AI/ML organization with a hands-on, scrappy approach: setting technical vision, rolling up your sleeves on critical modeling work, and building a world-class team that ships ...

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How much do health ai jobs pay per year?

As of Aug 11, 2026, the average yearly pay for health ai in the United States is $105,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,500.00 and $141,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Health AI position, and why are they important?

To excel in a Health AI role, you need a robust background in data science, machine learning, and healthcare informatics, typically supported by a degree in computer science or a related health or engineering field. Familiarity with tools such as Python, TensorFlow, clinical databases, and experience with HIPAA regulations and medical device standards are highly valued. Strong analytical reasoning, communication, and interdisciplinary collaboration skills help bridge the gap between technical and clinical teams. These competencies are crucial for developing effective AI solutions that improve healthcare outcomes while maintaining patient privacy and regulatory compliance.

What is a Health AI?

A Health AI job involves developing and applying artificial intelligence technologies to healthcare. Professionals in this field work on tasks such as medical data analysis, predictive modeling, and AI-powered diagnostics. They collaborate with doctors, researchers, and tech teams to improve patient outcomes and streamline healthcare processes. Roles may include AI engineers, data scientists, or clinical AI specialists, depending on the specific focus area.

What are the common day-to-day responsibilities for someone working in Health AI?

Professionals in Health AI are often involved in designing, developing, and validating machine learning models to solve complex healthcare challenges, such as disease prediction, patient outcome analysis, or workflow optimization. You might work closely with clinicians, data engineers, and regulatory specialists to collect and preprocess medical data, ensure models are clinically relevant, and meet strict privacy standards. Additionally, you'll present findings, monitor AI system performance in clinical settings, and continuously update algorithms to reflect the latest research and datasets. The role is highly collaborative and impactful, offering a dynamic work environment at the intersection of technology and healthcare innovation.

What cities are hiring for Health Ai jobs? Cities with the most Health Ai job openings:
What are the most commonly searched types of Health Ai jobs? The most popular types of Health Ai jobs are:
What states have the most Health Ai jobs? States with the most job openings for Health Ai jobs include:
What job categories do people searching Health Ai jobs look for? The top searched job categories for Health Ai jobs are:
Infographic showing various Health Ai job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $105,973 per year, or $50.9 per hour.

Vice President for AI Healthcare Innovation

Stryker Corporation

Farmington, CT • On-site

$250 - $400/hr

Other

Posted 6 days ago


Job description

The Vice President (ED) of the UConn Health AI Institute will serve as the founding leader responsible for building and scaling a nationally recognized hub for AI-driven healthcare innovation. The ED will translate UConn Health’s strategic vision into operational, clinical, and financial success by positioning the Institute as a premier clinical proving ground for external AI companies, accelerating adoption of validated technologies, and generating long-term institutional value through strategic investment. This role requires a unique combination of healthcare leadership, change management in legacy organizations, knowledge of venture investing, operational execution, and academic collaboration.

Key Responsibilities
  1. Strategic Leadership & Institute Development
  • Establish and operationalize the AI Institute in alignment with UConn Health’s mission and strategic priorities
  • Define and execute a market-oriented strategy focused on identifying, evaluating, and integrating best-in-class external AI solutions rather than primarily incubating internal startups
  • Position UConn Health as a trusted validation environment for AI solutions leveraging real-world operational, and clinical workflows and patient data as appropriate.
  • Build the Institute’s national reputation as a leader in healthcare AI innovation
  1. Clinical & Operational AI Integration
  • Partner with clinical, operational, and administrative leaders to:
    • Identify high-priority unmet needs across UConn Health
    • Define use cases for AI deployment
  • Oversee structured pilots, validation studies, and enterprise-scale deployment of AI solutions
  • Ensure measurable improvements in:
    • Patient outcomes
    • Operational efficiency
    • Financial performance
  1. External Partnerships & Ecosystem Development
  • Develop a robust pipeline of AI companies for evaluation and partnership
  • Serve as a strategic liaison between:
    • AI startups and UConn Health departments and stakeholders
    • UConn Health clinical leadership
    • Academic units (including the School of Business) as appropriate
  • Establish UConn Health as a preferred partner for leading healthcare AI innovators
  1. Venture Fund & Investment Collaboration
  • Work in close partnership with the AI Institute Investment Committee, chaired by John Kim
  • Support sourcing, evaluation, and validation of companies for potential investment
  • Ensure that clinical pilots and operational results inform disciplined investment decisions
  • Contribute to building a high-performing venture portfolio that delivers long-term financial returns to UConn Health
  1. Governance & Institutional Alignment
  • Report to UConn Health CEO within the UConn Health Finance Corporation
  • Collaborate with the Institute’s governing board, including external members and philanthropic partners
  • Ensure transparency, accountability, and alignment with institutional priorities
  1. Financial Stewardship & Sustainability
  • Manage a dual-structured model balancing:
    • Directly responsible for managing the operating budget
    • Provide strategic and operational support for the venture fund
  • Drive progress toward a self-sustaining financial model through:
    • Creating tangible revenue and expense efficiencies for UCONN Health
    • Returns from the venture investments
    • Licensing and commercialization opportunities
  • Support ongoing fundraising and donor engagement efforts
  1. Team Building & Organizational Leadership
  • As the Institute evolves recruit and lead a multidisciplinary team across:
    • AI/technology evaluation
    • Clinical integration
    • Data science
    • Business development and operations
  • Foster a culture of rigor, speed, accountability, and innovation
Key Qualifications Required
  • Advanced degree (PhD, MBA, MD or equivalent)
  • 15+ years of leadership experience in healthcare, technology, or innovation-driven organizations
  • Demonstrated experience in AI, digital health, or healthcare transformation initiatives
  • Experience in healthcare systems, clinical workflows, and data environments
  • Experience leading cross-functional teams and complex implementations
Preferred
  • Knowledge of venture capital, private equity, or corporate investment
  • Experience in evaluating and scaling emerging technology companies
  • Experience working in academic medical centers or research institutions
  • Familiarity with regulatory, compliance, and ethical considerations in healthcare AI
Core Competencies
  • Strategic vision with execution discipline
  • Change management leadership of large organizations
  • Strong stakeholder engagement and partnership skills
  • Data-driven decision-making
  • Ability to operate at the intersection of academic medicine, industry, and capital markets
  • Investment and commercial acumen
Success Metrics (Illustrative)
  • Number and quality of AI solutions evaluated and deployed
  • Measurable clinical and operational improvements
  • External partnerships and national reputation of the Institute
  • Progress toward financial sustainability
Why This Role Matters

This is a foundational leadership role with the opportunity to shape a first-in-kind model: an AI Institute that integrates clinical validation, operational transformation, and venture investment into a unified platform. The Executive Leadership Director will play a central role in advancing UConn Health’s position as a leader in AI-enabled healthcare innovation.

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