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Overview
- Jhpiego, an affiliate of Johns Hopkins University, is implementing digital health solutions to support public health programs. As part of ongoing system improvements and program expansion, Jhpiego seeks a to hire a competent individual to implement a series of technical developments, enhancements, refinements, and compliance updates for its mobile health applications.
Responsibilities
- Implement mobile app changes collated from visits from project supported states.
- Update and integrate Predictive Analysis into new and existing mobile applications.
- Improve the Mobile applications based on feedback loop during data synchronization operations.
- Implement historical risk score view on all developed mobile applications.
- Enhance the monthly in-app pulse surveys and feedback mechanisms to ensure adequate use of developed mobile applications.
- Implement modular architecture for existing mobile solutions to enable future expansion to other disease areas.
- Design and develop accessibility features in existing and future mobile applications.
- Implement in-app push notifications across mobile applications developed.
- Integrate existing mobile application with external APIs like the NAFDAC Greenbook, LOMIS.
- Implement and monitor the Optical Character Recognition (OCR) feature in developed mobile applications.
- Upgrade and develop robust user manuals for the existing and future mobile applications.
- Integrate existing and future mobile solutions into robust backends for unified data storage.
- Design and implement database storage mechanisms for robust data collection across all mobile solutions.
Deliverables:
- Implemented changes and bug fixes identified in all deployed mobile applications.
- Modularized codebase supporting plug-and-play modules for new disease areas (e.g., TB, MNCH) with architecture documentations.
- Functional accessibility settings (e.g., font scaling, screen reader support, colour contrast), user documentation.
- Integrated and tested predictive models on revised ML algorithms. Model documentation and code.
- UI component and backend logic for historical data collection, risk trends, verifications.
- Configured Cloud Messaging (or equivalent), notification service, and UI integration.
- Enhanced user notifications during sync (e.g., progress, success/failure messages, retry logic).
- Revised data collection, use, and privacy documentation based on approved standards from NDPR.
- Fully functional and tested Case Management component developed and delivered and exportable as a standalone module.
- Successful integration of the external APIs, enabling seamless, real-time information lookup within developed mobile applications.
- Operational Optical Character Recognition (OCR) and package recognition features that are capable of accurately scanning and identifying images and texts.
- Mobile applications compliant with modern accessibility standards, featuring functionalities such as screen reader support, dynamic text sizing, and high-contrast modes.
- Comprehensive and user-friendly User Manuals documenting all features and workflows of developed mobile systems.
- A secure, scalable, and efficiently designed database schema and implementation for the Case Management Module, ensuring data integrity and optimal performance.
- Implementation of offline-first mobile, using capture-and-sync later as well as USSD.
- Deployment and maintenance of fully integrated mobile solutions across Project supported states.
Required Qualifications
- Bachelor’s or master’s degree in computer science, Health Informatics, or a related field.
- 5+ years of experience in digital health system development.
- Proven experience with:
- Mobile app development (Jetpack Compose, Kotlin, Flutter or React Native)
- Modular software architecture
- Push notification frameworks (e.g., FCM)
- Accessibility standards (WCAG)
- Familiarity with IRB processes and data ethics in health systems.
- Strong documentation and communication skills.
- Application programming Interface (API) integrations.
Method of Application
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