Research Full Stack Coder

Summary
Brown University Health is seeking a highly motivated Full-Stack AI Developer to join a government-funded research team working at the intersection of artificial intelligence, digital health, and public health interventions. The ideal candidate will play a key role in the development and optimization of multimodal AI models, AI-driven chatbots, and agent-based modeling frameworks, contributing to research on HIV prevention, sexually transmitted infection (STI) prevention, nutrition counseling, overdose prevention, and opioid use disorder (OUD) treatment.
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Values Brown University Health employees are expected to successfully role model the organization’s values of Compassion, Accountability, Respect and Excellence, as these values guide our everyday actions with patients, customers and one another. In

addition

to

our

values,

all

employees

are

expected

to

demonstrate

the

core

Success

Factors

• which
• tell
• us
• how
• we
• work
• together and how we get things done. The core Success Factors include: Instill Trust and Value Differences Patient and Community Focus and

Collaborate
Responsibilities
AI and Software Development:
Design, develop, and optimize
multimodal AI
models, AI-based chatbots, and modify existing
agent-based modeling
frameworks.
Full-Stack Engineering:
Develop and maintain both
front-end and back-end
components of AI-driven applications, ensuring seamless user experiences.
Cloud-Based Deployment:
Deploy and maintain AI solutions on
cloud platforms
(e.g., AWS, Azure, or Google Cloud) with scalable architectures.
Domain-Specific Adaptation:
Learn and integrate public health knowledge in HIV prevention, STI prevention, nutrition counseling, and OUD treatment into AI-based solutions.
Collaboration:
Work closely with
public health experts, data scientists, and researchers
to refine AI models and improve application performance.
Continuous Learning & Innovation:
Stay updated on
cutting-edge AI technologies
, including large language models, reinforcement learning, and agentic frameworks.
Required Qualifications:
Programming Expertise:
Proficiency in
Python, JavaScript (React/Node.js), or other full-stack technologies
for AI and web applications.
AI/ML Experience:
Hands-on experience with
machine learning frameworks
(e.g., TensorFlow, PyTorch, LangChain, AutoGen).
Back-End Development:
Strong knowledge of
API development, databases (SQL/NoSQL), and cloud computing
.
Front-End Development:
Experience in
React, Vue.js, or Angular
for interactive and user-friendly applications.
Cloud & DevOps:
Experience in deploying AI applications on
AWS, Google Cloud, or Azure
, and familiarity with containerization (Docker, Kubernetes).
Agent-Based Modeling:
Familiarity with modifying
agent-based models (ABMs)
in domains such as
epidemiology or public health.
Ability to Learn Domain Knowledge:
Strong interest and ability to
understand and integrate public health concepts
into AI-driven solutions.
Team Player:
Ability to
collaborate in a multidisciplinary research team
and contribute to government-funded projects.
Other

Information Preferred Qualifications: Bachelor’s

Degree or above

• in
• computer
• science
• or
• closely
• related
• field Experience working in health-related AI applications . Knowledge of LLMs, multimodal AI, and reinforcement learning . Prior work with digital health interventions . How to Apply: Interested candidates should submit a CV and a short cover letter through the career website and complete the application process . Applications will be reviewed on a rolling basis. EXPERIENCE: Three to five years’ experience in AI applications developing. INDEPENDENT ACTION: Performs
• independently
• within
• the
• department’s
• policies
• and
• practices.

Refers

• specific
• complex
• problems
• to
• the
• supervisor

when
clarification of the departmental policies and procedures is required.
SUPERVISORY
RESPONSIBILITY:
No direct supervisory responsibility. Trains and oversees work of Research Assistants in AI applications development
.
Pay Range:
$82,284.80-$135,782.40
EEO Statement:
Brown University Health is committed to providing equal employment opportunities and maintaining a work environment free from all forms of unlawful discrimination and harassment.
Location:
Remote-Massachusetts - N/A Boston, Massachusetts 02108
Work Type:
M-F, 8 am - 5 pm
Work Shift:
Day
Daily Hours:

8 hours Driving Required: No