Healthcare AI Analyst Intern

About the role

The Healthcare AI Analyst Intern will work with our engineering, clinical, and AI teams to research healthcare challenges, analyze emerging AI technologies, and help develop innovative concepts and prototypes.

Responsibilities

• Research healthcare, medical, and biomedical topics related to chronic disease management, remote patient monitoring, digital health, and preventive care.
• Analyze how Generative AI, Machine Learning, Computer Vision, Large Language Models (LLMs), and Agentic AI can improve healthcare workflows.
• Identify inefficiencies in healthcare delivery and propose AI-driven solutions.
• Develop proof-of-concept prototypes using AI tools and low-code/no-code platforms.
• Evaluate AI products, APIs, and emerging healthcare technologies.
• Work with software engineers to translate ideas into prototypes.
• Prepare research reports, presentations, and product recommendations.
• Absorb and organize healthcare datasets (where appropriate and compliant with privacy regulations).
• Participate in brainstorming sessions for new healthcare products and services.
• Present findings and prototype demonstrations to the Unika Health team.

Requirements

We're more interested in curiosity and creativity than extensive experience. Ideal candidates demonstrate:

• Strong interest in healthcare innovation
• Passion for AI and emerging technologies
• Excellent analytical and problem-solving skills
• Strong written and verbal communication
• Ability to learn independently
• Creative thinking and willingness to challenge conventional ideas
• Comfortable reading scientific literature and researching new topics

Qualifications

• High school students
• Undergraduate students
• Students interested in future careers in medicine, healthcare, biomedical engineering, AI, or entrepreneurship.
• Preferred areas of study include: Biology, Biomedical Sciences, Pre-Med, Public Health, Nursing, Computer Science, Artificial Intelligence, Data Science, Biomedical Engineering, Bioinformatics, Health Informatics, Cognitive Science, Human Biology.

Skills

Experience with any of the following is a plus (but not required):

• ChatGPT, Claude, Gemini, or other AI assistants
• Python
• SQL
• Data visualization
• Prompt engineering
• Healthcare or biomedical research
• Machine Learning
• Computer Vision
• Mobile app development
• UI/UX design
• Figma
• Healthcare regulations (HIPAA, FDA, etc.)

Benefits

Paid or academic credit (based on qualifications)

Pay

N/A

Schedule

Flexible, 10–30 hours/week