LOADING
with communication, leadership, GenAI+ Vibecoding training
APPLY HERE: http://bit.ly/D4H_Internship
Only applications submitted through this link will be reviewed.
Dance4Healing is an award-winning, NIH-funded social impact startup building a patented AI telehealth platform with biotracking that leverages Arts & Health practices (music, dance, and arts) to reduce isolation, improve mental and physical health, and make healthy habits accessible, supportive, and fun.
Inspired by founder Amy Li's recovery from Stage IV cancer, Dance4Healing serves older adults, caregivers, and people living with chronic disease. Our work has been informed by founders' training and collaborations with leading institutions, including Stanford University and Harvard Medical School, and is supported by NIH-funded research initiatives.
Our social impact and business model is grounded in the University of Oxford's Mutual Value Labs, an executive program where the founder graduated from, focused on building ventures that create shared value across communities, institutions, and markets. This framework shapes how we design technology, partnerships, and incentives for long-term, scalable impact—not short-term engagement.
This is a 100% remote internship with an international cohort of students and early-career professionals.
This is not a traditional internship.
In addition to hands-on technical work, interns receive:
Interns gain exposure to emerging approaches in Generative AI and vibecoding, informed by the founder's participation in the Stanford AI & Longevity Lab program. Training explores how GenAI, multimodal signals (voice, movement, behavior), and human-centered design can be combined to build more engaging, adaptive health and wellness technologies—emphasizing thoughtful application over hype.
The internship follows a clear weekly structure with defined milestones, focused co-working sessions, and regular progress check-ins. Interns declare goals, track outcomes, and practice professional accountability—skills rarely taught in traditional internships.
Interns join an international cohort and are paired with an accountability buddy to support consistency, communication, and growth. This mirrors how high-performing startup and research teams operate in real-world environments.
As a Software Development, Data & AI Intern, you may:
Technologies may include (not all required):
You are not expected to know everything—this is a learning-forward environment.
You do not need to be an AI expert to apply. Growth mindset and follow-through matter more than buzzwords.
This internship is a strong fit for people who:
Past interns have gone on to roles in health tech, AI, research coordination, startups, and graduate programs, and some have continued in extended roles with Dance4Healing.
"I personally benefited from this internship program. Through hands-on work in coding, data science, and cross-functional collaboration, I developed strong technical, analytical, and leadership skills. The experience was impactful enough that I later rejoined the team in an AI-driven product role." — Former Intern, AI & Data → Product Analyst
"This program significantly improved my communication and project management skills. Working across teams on real initiatives helped me grow professionally while contributing to meaningful social impact." — MPH Graduate, Project Management & Grant Writing Team
"I started on the grant writing team and transitioned to working on an NIH-funded study. The leadership, communication, and technical writing skills I gained here are skills I continue to use every day." — Former Intern, Research / NIH Study Team
"Since joining Dance4Healing, I've gained clarity about my goals, confidence in my communication, and inspiration from working with people from many different backgrounds around the world." — Undergraduate Intern
Academic credit may be arranged depending on your institution's requirements.
APPLY HERE: http://bit.ly/D4H_Internship
Please share this opportunity with friends who may benefit.
Job Type: Internship
Pay: Up to $1.00 per year
Application Question(s):
Only applications submitted through this link will be evaluated.
Work Location: Remote