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
- Bachelors or masters 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.
Jhpiego offers competitive salaries and a comprehensive employee benefits package.
Please apply at must submit a single document for upload to include: cover letter resume and references.
For further information about Jhpiego visit our website at
Note: The successful candidate selected for this position will be subject to a pre-employment background investigation.
Jhpiego is an Affirmative Action/Equal Opportunity Employer
Jhpiego a Johns Hopkins University affiliate is an equal opportunity employer and does not discriminate on the basis of gender marital status pregnancy race color ethnicity national origin age disability religion sexual orientation gender identity or expression veteran status other legally protected characteristics or any other occupationally irrelevant criteria. Jhpiego promotes Affirmative Action for minorities women individuals who are disabled and veterans.
EEO is the Law
RECRUITMENT SCAMS & FRAUD WARNING
Jhpiego has become aware of scams involving false job offers. Please be advised:
- Recruiters will never ask for a fee during any stage of the recruitment process.
- All active jobs are advertised directly on our careers page.
- Official Jhpiego emails will always arrive from a @ email address.
Please report any suspicious communications to
#LI-AE1
Required Experience:
Unclear Seniority
OverviewJhpiego 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 enhancement...
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
- Bachelors or masters 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.
Jhpiego offers competitive salaries and a comprehensive employee benefits package.
Please apply at must submit a single document for upload to include: cover letter resume and references.
For further information about Jhpiego visit our website at
Note: The successful candidate selected for this position will be subject to a pre-employment background investigation.
Jhpiego is an Affirmative Action/Equal Opportunity Employer
Jhpiego a Johns Hopkins University affiliate is an equal opportunity employer and does not discriminate on the basis of gender marital status pregnancy race color ethnicity national origin age disability religion sexual orientation gender identity or expression veteran status other legally protected characteristics or any other occupationally irrelevant criteria. Jhpiego promotes Affirmative Action for minorities women individuals who are disabled and veterans.
EEO is the Law
RECRUITMENT SCAMS & FRAUD WARNING
Jhpiego has become aware of scams involving false job offers. Please be advised:
- Recruiters will never ask for a fee during any stage of the recruitment process.
- All active jobs are advertised directly on our careers page.
- Official Jhpiego emails will always arrive from a @ email address.
Please report any suspicious communications to
#LI-AE1
Required Experience:
Unclear Seniority
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