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Internship Health Ai Jobs (NOW HIRING)

Howard

Assistant/Associate Professor

Seeley, CA

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 ...

Ihealth Labs Inc

Healthcare AI Analyst Intern

Sunnyvale, CA · On-site

$20 - $25/hr

Semester or Summer Internship (12-16 weeks, flexible) Hours: 10-30 hours/week Compensation: Paid or ... Position Overview The Healthcare AI Analyst Intern will work with our engineering, clinical, and AI ...

Point C

OR

... health informatics-focused, with a meaningful AI component spanning data retrieval, trend ... The internship is set for 10-12 weeks but may be extended based on business needs. Primary ...

Digital Infuzion

Internship Opportunities

Rockville, MD · On-site

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 ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

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 ...

Point C

Healthcare Informatics AI Intern

$20 - $25/hr

... health informatics-focused, with a meaningful AI component spanning data retrieval, trend ... The internship is set for 10-12 weeks but may be extended based on business needs. Primary ...

Eight Sleep

AI/ML Research Internship

San Francisco, CA · On-site

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 ...

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How much do internship health ai jobs pay per hour?

As of Jul 14, 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.
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Internship Health Ai jobs near you
Infographic showing various Internship Health Ai job openings in the United States as of July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $33,957 per year, or $16.3 per hour.

2026 Fall Health AI Scholar, Digital Health Algorithms

Samsung Research America Internship

Mountain View, CA • On-site, Remote

Other

Posted 19 days ago

Job description

Lab Summary:

Samsung Research America Digital Health Algorithms Team (https://www.sra.samsung.com/digital-health/) collaborates with top universities, hospitals, and healthcare-industry partners to collect large-scale data and develop novel AI/ML algorithms to transform how healthcare is delivered. We use design thinking to address some of healthcare's toughest challenges, from improving care and producing better outcomes, to reducing costs and expanding access. 

Focusing on wearable, mobile, and cloud-based form factors, our multi-disciplinary team develops innovative technologies that we then turn into groundbreaking commercial products to support clinicians, patients, and consumers. We use advanced sensor technology to capture physiologic responses and make use of our AI/ML framework to build algorithms for developing digital biomarkers and digital interventions. We employ data analytics to supplement clinical care and facilitate remote patient monitoring, thereby helping patients make behavioral changes that improve their health and daily lives. Our work has been internationally recognized with 70+ peer-reviewed publications and 10 design awards.

Our portfolio of digital health algorithmic solutions are important tools in helping clinicians and their patients monitor and manage serious health conditions, such as cardiovascular disease, pulmonary disease, and cancer; as wells chronic illnesses including mental health, diabetes, hypertension, depression, sleep disorders, and obesity. Our work encompasses the entire range of processes, from ideating, developing, and incubating; to designing and delivering market-ready products; to supporting and evolving currently released products.

Position Summary:

We are looking for a highly motivated and talented individual with solid ML/AI/GenAI technology background to join the Digital Health Algorithms Team as a Health AI Scholar for a 10-month residency program,. This position is ideal for a fresh graduate PhD student or a postdoctoral researcher with digital health research experience in multi-modal physiological timeseries algorithm development and passionate about applying cutting-edge artificial intelligence techniques to health-related challenges. You will have the opportunity to work alongside a diverse and innovative team, leveraging your expertise to advance our AI-driven health initiatives.

Samsung's unique advantage in the consumer electronics market and growing focus on digital health will provide you with unprecedented large data sets and healthcare analytics challenges.

Position Responsibilities:

  • Design, implement, and optimize advanced AI models, including self-supervised learning, for health applications.
  • Work with large-scale time-series datasets, developing robust algorithms to extract meaningful insights.
  • Collaborate with multidisciplinary teams to translate AI-driven insights into impactful healthcare solutions.
  • Train and fine-tune deep learning models using AWS AI services, ensuring scalability and efficiency.
  • Contribute to the development of novel AI methodologies to address complex healthcare challenges.
  • Actively engage in team discussions, fostering a collaborative and inclusive work environment.

Required Skills:

  • PhD (near completion) or postdoctoral experience in Computer Science, Artificial Intelligence, Machine Learning, Biomedical Engineering, or a related field.
  • Strong expertise in deep learning techniques (e.g., self-supervised learning, transformer architectures, CNNs, RNNs).
  • Proven experience working with time-series datasets, preferably in health-related domains.
  • Proficiency in developing and deploying models using AWS AI services including SageMaker and Redshift.
  • A track record of peer-reviewed publications in top AI/health-related journals or conferences.
  • Programming using languages such as Python, R, Android, C/C++, Java.
  • Demonstrated ability to work collaboratively in multidisciplinary teams.

Apply