Research Full Stack Developer

Job not on LinkedIn

🔥 4 minutes ago

🍂 Massachusetts – Remote

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💵 $82.3k - $135.8k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 0%

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Logo of Brown Medicine

Brown Medicine

201 - 500 employees

Founded 1995

🏥 Healthcare

📚 Education

🔬 Science

Healthcare • Education • Science

Brown Medicine is a medical practice group that has joined Brown Health Medical Group, providing integrated outpatient and specialty care across a network of providers under a single electronic health record. It offers patient-facing services such as primary and specialty care, televisits, and online patient portals (transitioning to MyChart), as well as administrative and billing support, and is affiliated with Brown University Health and the Warren Alpert Medical School.

📋 Description

• Design, develop, and optimize multimodal AI models, AI-based chatbots, and agent-based modeling frameworks • Develop and maintain front-end and back-end components of AI-driven applications • Deploy and maintain AI solutions on AWS, Azure, or Google Cloud using scalable architectures • Learn and integrate public health knowledge in HIV prevention, STI prevention, nutrition counseling, and OUD treatment into AI-based solutions • Collaborate with public health experts, data scientists, and researchers to refine AI models and improve application performance • Stay updated on AI technologies including large language models, reinforcement learning, and agentic frameworks • Perform independently within departmental policies and refer complex problems to the supervisor when clarification is needed • Train and oversee the work of Research Assistants in AI applications development

🎯 Requirements

• Proficiency in Python, JavaScript (React/Node.js), or other full-stack technologies for AI and web applications • Hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, LangChain, and AutoGen • Strong knowledge of API development, SQL/NoSQL databases, and cloud computing • Experience with React, Vue.js, or Angular • Experience deploying AI applications on AWS, Google Cloud, or Azure • Familiarity with Docker and Kubernetes • Familiarity with modifying agent-based models in domains such as epidemiology or public health • Strong interest and ability to understand and integrate public health concepts into AI-driven solutions • Ability to collaborate in a multidisciplinary research team and contribute to government-funded projects • Three to five years’ experience in AI applications developing • Bachelor’s degree or above in computer science or closely related field (preferred qualification)

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