Voice Up AI & Health Entrepreneurship Associate 100% Remote
AI & Health Entrepreneurship Associate (Public Health Track)
Position Summary
The AI & Health Entrepreneurship Associate (Public Health Track) is an applied, research-based internship/practicum opportunity designed for students and early-career professionals interested in advancing innovation at the intersection of public health, data, workforce development, and emerging technologies.
This role supports the development and evaluation of community-centered, scalable public health solutions, integrating both quantitative and qualitative methods to better understand and address gaps in mental health, workforce pathways, and health equity.
Organization Overview
Voice Up is a research-driven public health and workforce innovation model with student engagement across 257+ higher education institutions and 42 countries. The organization operates through the Applied Purpose Science Research Lab to:
identify and strengthen community-based contributors to health and wellbeing
connect lived experience to health-related and purpose-driven pathways
develop scalable models that integrate mental health, identity, and workforce systems
Voice Up represents a non-traditional, community-embedded public health model focused on upstream determinants of health, prevention, and engagement.
Location
Remote (Global Participation Supported)
Time Commitment
Minimum 150 total hours (standard internship / MPH Applied Practice Experience)
Flexible completion across one or multiple academic terms
Eligibility
Open to students and recent graduates from all academic disciplines, with strong alignment for:
Public Health (MPH)
Epidemiology
Health Policy
Health Administration
Behavioral Health
Data Science (health applications)
Primary Responsibilities
1. Applied Public Health Research
Conduct mixed-methods research, including:
qualitative narrative analysis
quantitative data tracking and interpretation
Contribute to development of evidence related to:
mental health
engagement
workforce pathways
2. Public Health Innovation & Systems Analysis
Analyze gaps in:
access to care
workforce development
community engagement
Support development of innovative, scalable public health models
3. Health Pathways & Workforce Development
Identify and map connections between:
lived experience
community engagement
health-related career pathways
Support development of pipeline and pathway frameworks
4. Ethical Use of Data and Technology
Explore the role of AI and digital tools in public health contexts
Apply principles of:
ethics
privacy
responsible data use
5. Program Evaluation & Impact Measurement
Track and analyze:
participation
engagement
outcome indicators
Contribute to evaluation reports and continuous improvement processes
6. Cross-Sector Collaboration
Work across interdisciplinary teams
Engage with participants across academic, community, and global contexts
Learning Outcomes
Participants will gain experience in:
applied public health research (qualitative + quantitative)
program evaluation and impact measurement
workforce and pathway development systems
ethical considerations in AI and public health
systems thinking and policy-relevant analysis
Preferred Skills and Competencies
Strong analytical and critical thinking skills
Interest in:
data analysis
public health systems
innovation and entrepreneurship
Effective written and verbal communication
Ability to work independently in a remote environment
Work Environment
100% Remote
Flexible scheduling
Research-driven, collaborative environment
Application Instructions
To apply, submit:
Resume
Cover Letter
Email:
Subject Line:
AI & Health Entrepreneurship Associate (Public Health Track)
Equal Opportunity Statement
Voice Up welcomes applicants from all backgrounds and disciplines. We are committed to creating an inclusive environment that reflects the diversity of the communities we serve.
In public health, this shift parallels the evolution from individual-level interventions to ecological models approaches that recognize behavior as embedded within systems of habit, environment, and social reinforcement. The work of on self-efficacy, and later research on habit formation and social norms, all converge on the same insight: people act consistently when behavior is structured, visible, and socially supported.
The absence of that structure is what creates the gap.
The Architecture of Disconnection
The data embedded in the theory of change offers a subtle but revealing pattern. Participants report moderate overall wellbeing, but financial wellbeing and specifically financial openness emerges as the lowest domain .