Mobile Developer

About MednTech

MednTech is a nonprofit organization developing AI-powered tools to improve early detection of cervical cancer and expand access to care in underserved communities, particularly in Africa. It works by equipping frontline healthcare providers with accessible technology and partnering with local health systems to improve outcomes and empower patients. We have already implemented our diagnostic model in real-world settings in Rwanda. We are now looking to further improve its performance and robustness before our next deployment, and are currently seeking volunteers to support this initiative.

Why Volunteer With Us

We are early-stage, moving fast, and building something that matters. You will have real ownership over technical decisions that directly shape a tool going into the field. Cervical cancer is one of the most preventable cancers in the world, yet it remains a leading cause of cancer death in low-resource settings simply because screening does not reach the people who need it. The tool you help build changes that. If you want your code to save lives, this is that opportunity!

Role overview

We are looking for a mobile developer to help transition our existing web-based screening application into a field-ready mobile experience. The goal is a field-ready tool by May/June 2025. We want someone comfortable making calls and executing on it, using Claude Code to move fast.

Key responsibilities

• Adapt the existing web application for mobile use, ensuring a responsive and reliable experience on the ground
• Implement offline functionality so the app remains usable in low-connectivity environments
• Build in safeguards to prevent data loss (auto-save, session recovery)
• Ensure all patient screening fields and previous screening data are correctly captured and persisted
• Support multilingual display and field validation
• Contribute to refining the confidence threshold logic for model outputs

Required skills

• Solid experience in mobile or cross-platform development (React Native, Flutter, or equivalent)
• Comfort working with existing codebases and shipping iterative improvements
• Experience building offline-first or low-connectivity applications
• Familiar with form state management and data persistence
• Comfortable using Claude Code as a core part of your workflow — we rely on it to move fast and expect you to as well

Preferred qualifications

• Experience with health or field-deployment applications
• Familiarity with image capture APIs and mobile camera handling
• Prior work in resource-limited or global health contexts

• All roles are highly collaborative and will work closely across the MednTech AI pipeline
• Experience with healthcare AI, low-resource environments, or global health applications is a strong plus
• Candidates should be comfortable working in fast-paced, early-stage environments