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.

C.A.R.E.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.

Inadditiontoourvalues,allemployeesareexpectedtodemonstratethecoreSuccessFactorswhichtellushowweworktogetherand how we get things done. The core Success Factors include:

• Instill TrustandValueDifferences

• Patient and Community FocusandCollaborate

Responsibilities

• AI and Software Development: Design, develop, and optimizemultimodal AI models, AI-based chatbots, and modify existingagent-based modeling frameworks.
• Full-Stack Engineering: Develop and maintain bothfront-end and back-end components of AI-driven applications, ensuring seamless user experiences.
• Cloud-Based Deployment: Deploy and maintain AI solutions oncloud 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 withpublic health experts, data scientists, and researchers to refine AI models and improve application performance.
• Continuous Learning & Innovation: Stay updated oncutting-edge AI technologies, including large language models, reinforcement learning, and agentic frameworks.

Required Qualifications:

• Programming Expertise: Proficiency inPython, JavaScript (React/Node.js), or other full-stack technologies for AI and web applications.
• AI/ML Experience: Hands-on experience withmachine learning frameworks (e.g., TensorFlow, PyTorch, LangChain, AutoGen).
• Back-End Development: Strong knowledge ofAPI development, databases (SQL/NoSQL), and cloud computing.
• Front-End Development: Experience inReact, Vue.js, or Angular for interactive and user-friendly applications.
• Cloud & DevOps: Experience in deploying AI applications onAWS, Google Cloud, or Azure, and familiarity with containerization (Docker, Kubernetes).
• Agent-Based Modeling: Familiarity with modifyingagent-based models (ABMs) in domains such asepidemiology or public health.
• Ability to Learn Domain Knowledge: Strong interest and ability tounderstand and integrate public health concepts into AI-driven solutions.
• Team Player: Ability tocollaborate in a multidisciplinary research team and contribute to government-funded projects.

OtherInformation

Preferred Qualifications:

• Bachelor’sDegree or aboveincomputerscienceorcloselyrelatedfield
• Experience working inhealth-related AI applications.
• Knowledge ofLLMs, multimodal AI, and reinforcement learning.
• Prior work withdigital health interventions.

How to Apply:

Interested candidates should submit aCV 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 inAI applications developing.

INDEPENDENTACTION:

Performsindependentlywithinthedepartment’spoliciesandpractices.Refersspecificcomplexproblemstothesupervisorwhenclarification of the departmental policies and procedures is required.

SUPERVISORYRESPONSIBILITY:

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