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Internship Health Ai Jobs (NOW HIRING)

The candidate will supervise postdocs, students, research assistants, or lab interns conducting ... Lead interdisciplinary research at the intersection of computational health, AI, GIS, and medical ...

AI Innovation Challenge: Each summer culminates in a cross-disciplinary AI Innovation Challenge, where interns team up to solve a real-world health IT problem. * Networking: Build lasting connections ...

We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 ... The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in ...

We are trusted by high performers, professional athletes, and health-conscious consumers in over 30 ... The Role Eight Sleep is looking for Machine Learning research interns to work on AI/ML problems in ...

Horizon offers clinicians a Behavioral Health AI-powered platform to assist with note documentation ... Minimum of one year of professional work experience or internship experience in mental health ...

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Internship Health Ai information

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How much do internship health ai jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for internship health ai in the United States is $16.33, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is an internship in Health AI?

An Internship in Health AI is a temporary position designed for students or recent graduates interested in applying artificial intelligence techniques to healthcare challenges. Interns work alongside experienced professionals to develop, test, and implement AI-driven solutions that improve patient care, diagnostics, or healthcare operations. The role typically includes tasks such as data analysis, machine learning model development, and collaborating with multidisciplinary teams. This experience helps interns gain hands-on skills and industry knowledge, preparing them for future roles in health technology. Internships can take place in hospitals, research institutions, or health tech companies.

What is the difference between Internship Health Ai vs Healthcare Data Analyst?

AspectInternship Health AiHealthcare Data Analyst
Required CredentialsRelevant coursework, basic understanding of AI and healthcareBachelor's degree in health informatics, data science, or related field
Work EnvironmentHealthcare tech companies, hospitals, research institutionsHospitals, clinics, healthcare organizations, consulting firms
Employer & Industry UsageUsed for developing AI tools for healthcare applicationsAnalyzing healthcare data to improve patient outcomes and operations

Internship Health Ai roles typically focus on gaining experience in AI applications within healthcare, often requiring coursework or basic knowledge. Healthcare Data Analysts usually hold degrees in related fields and perform data analysis to support healthcare decision-making. Both roles are integral to healthcare technology but differ in scope and experience level.

What are the key skills and qualifications needed to thrive as an internship Health AI professional, and why are they important?

To thrive in a Health AI internship, you generally need foundational knowledge in computer science, data analysis, and healthcare concepts, often supported by coursework or a related degree in fields like computer science, bioinformatics, or data science. Familiarity with programming languages such as Python or R, machine learning frameworks like TensorFlow or PyTorch, and experience with healthcare data systems (e.g., EHRs) are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help interns collaborate on interdisciplinary teams and present findings clearly. These skills ensure interns can contribute meaningfully to AI projects that improve healthcare outcomes and comply with industry standards.

What types of projects can I expect to work on during a Health AI internship?

As a Health AI intern, you are likely to work on projects involving the development or analysis of artificial intelligence tools for healthcare applications. This may include tasks such as processing medical datasets, building predictive models for patient outcomes, or assisting with clinical decision support systems. You will often collaborate with multidisciplinary teams, including data scientists, clinicians, and software engineers. The work environment is typically fast-paced and encourages learning, making it a great opportunity to develop both technical and healthcare domain skills.
More about Internship Health Ai jobs
What cities are hiring for Internship Health Ai jobs? Cities with the most Internship 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 Internship Health Ai jobs? States with the most job openings for Internship Health Ai jobs include:
Infographic showing various Internship Health Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

Senior Software Engineer - Frontend

Hinge Health

San Francisco, CA • On-site

$144K - $190K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
Hinge Health is using technology to scale and automate the delivery of healthcare, focusing on musculoskeletal conditions. As a Senior Software Engineer, you will design and maintain software solutions that enhance health outcomes while collaborating with cross-functional teams to build scalable applications.
Responsibilities:
• Deliver large projects that introduce new product capabilities, often acting as a maintainer for key code repositories.
• Break down complex problems into manageable tasks, ensuring steady and predictable delivery while identifying and resolving root causes of incidents.
• Collaborate with your team to roadmap and execute ambitious technical strategies, balancing short-term and long-term trade-offs.
• Mentor and support junior engineers, providing thoughtful code reviews and real-time pairing.
• Integrate and leverage AI technologies to automate processes and enhance product features, contributing to Hinge Health’s AI-driven care platform.
• Proactively improve the maintainability, availability, and performance of the team’s features, and contribute to the team’s overall architecture and developer tooling.
• Exhibit strong user and business judgment, grounding decisions in customer needs and business priorities to drive durable product value
• Communicate technical ideas clearly to both technical and non-technical partners, and document solutions for future reference.
Qualifications:
Required:
• Bachelor’s Degree (or equivalent) in Computer Science, Engineering or related technical field
• 5+ years of non-internship full time professional software development experience
• 4+ years of experience with at least one software programming language
• 4+ years of experience in the full software development life cycle
• Experience delivering large software projects or features in a production environment
• Experience with mobile app development/deployment lifecycles
• Proficiency in TypeScript/JavaScript
• Experience with cloud based services (e.g. Docker/Kubernetes, cloud services such as AWS, and gRPC, protobufs, and temporal, etc.)
Preferred:
• Experience with AI technologies for software design and coding assistance
• Experience mentoring or onboarding junior engineers
• Familiarity with distributed systems, cloud infrastructure, or scalable architectures
• Experience with healthcare technology or regulated environments
• Experience with Agile development practices
Company:
Hinge Health is a digital clinic for joint, and muscle care, pelvic pain, bowel, and bladder control. Founded in 2014, the company is headquartered in San Francisco, USA, with a team of 1001-5000 employees. The company is currently Late Stage.