Research Full Stack Coder

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.

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

• 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.

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 to Jun Tao (jun_tao@brown.edu)/ Philip Chan (philip_chan@brown.edu). 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.

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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.

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