Health Innovators
Volunteer Full-Stack Developer - Radiology AI Chatbot
Health Innovators, Dracut, Massachusetts, us, 01826
Position:
Full-Stack Developer (Volunteer) Project:
Radiology AI Chatbot Commitment:
Part-time, Remote Duration:
Flexible (3-6 months or ongoing) About the Project We are building a cutting-edge
Radiology AI Chatbot
to assist medical professionals by providing AI-generated insights on radiology reports. The chatbot will be developed using
Vercel AI Chatbot
as a base template (GitHub Repo) and integrated with advanced machine learning models for medical imaging analysis. Responsibilities Customize and extend the
Vercel AI Chatbot
template to support radiology-specific conversations. Develop front-end components using
Next.js, React, and Tailwind CSS . Implement back-end functionalities using
Node.js, Python (for AI models), and databases
(e.g., PostgreSQL, Firebase, or MongoDB). Integrate AI models (e.g.,
OpenAI, Hugging Face, or custom trained models ) for radiology analysis. Ensure
HIPAA-compliant
security and privacy best practices for handling medical data. Deploy and manage the chatbot on
Vercel
and other cloud platforms. Collaborate with other developers, data scientists, and medical professionals. Required Skills Proficiency in
JavaScript/TypeScript, React, and Next.js . Experience with
Node.js and Python
(for AI model integration). Familiarity with
Vercel, serverless architecture, and cloud deployments . Experience with
AI/ML APIs
(e.g., OpenAI, Hugging Face, TensorFlow, PyTorch). Database management experience ( SQL, NoSQL, or Firebase ). Knowledge of authentication/security best practices ( JWT, OAuth, HIPAA compliance
is a plus). Preferred Qualifications Experience working with
medical AI applications
or healthcare-related projects. Understanding of
DICOM
and radiology image processing. Previous contributions to open-source AI/chatbot projects. Passion for healthcare technology and AI-driven innovations. Benefits of Volunteering Opportunity to work on a
real-world healthcare AI application . Gain hands-on experience with
AI, chatbot development, and cloud deployments . Collaborate with a multidisciplinary team of AI experts and healthcare professionals. Contribute to an
impactful, open-source healthcare project . Potential for future
paid opportunities
or long-term collaboration. How to Apply If you are passionate about AI and healthcare, we’d love to have you on board! Please message us with: Your resume or LinkedIn profile. A brief statement on why you’re interested in this project. Any relevant GitHub or project links. Let's build the future of AI-powered radiology together!
Full-Stack Developer (Volunteer) Project:
Radiology AI Chatbot Commitment:
Part-time, Remote Duration:
Flexible (3-6 months or ongoing) About the Project We are building a cutting-edge
Radiology AI Chatbot
to assist medical professionals by providing AI-generated insights on radiology reports. The chatbot will be developed using
Vercel AI Chatbot
as a base template (GitHub Repo) and integrated with advanced machine learning models for medical imaging analysis. Responsibilities Customize and extend the
Vercel AI Chatbot
template to support radiology-specific conversations. Develop front-end components using
Next.js, React, and Tailwind CSS . Implement back-end functionalities using
Node.js, Python (for AI models), and databases
(e.g., PostgreSQL, Firebase, or MongoDB). Integrate AI models (e.g.,
OpenAI, Hugging Face, or custom trained models ) for radiology analysis. Ensure
HIPAA-compliant
security and privacy best practices for handling medical data. Deploy and manage the chatbot on
Vercel
and other cloud platforms. Collaborate with other developers, data scientists, and medical professionals. Required Skills Proficiency in
JavaScript/TypeScript, React, and Next.js . Experience with
Node.js and Python
(for AI model integration). Familiarity with
Vercel, serverless architecture, and cloud deployments . Experience with
AI/ML APIs
(e.g., OpenAI, Hugging Face, TensorFlow, PyTorch). Database management experience ( SQL, NoSQL, or Firebase ). Knowledge of authentication/security best practices ( JWT, OAuth, HIPAA compliance
is a plus). Preferred Qualifications Experience working with
medical AI applications
or healthcare-related projects. Understanding of
DICOM
and radiology image processing. Previous contributions to open-source AI/chatbot projects. Passion for healthcare technology and AI-driven innovations. Benefits of Volunteering Opportunity to work on a
real-world healthcare AI application . Gain hands-on experience with
AI, chatbot development, and cloud deployments . Collaborate with a multidisciplinary team of AI experts and healthcare professionals. Contribute to an
impactful, open-source healthcare project . Potential for future
paid opportunities
or long-term collaboration. How to Apply If you are passionate about AI and healthcare, we’d love to have you on board! Please message us with: Your resume or LinkedIn profile. A brief statement on why you’re interested in this project. Any relevant GitHub or project links. Let's build the future of AI-powered radiology together!