FIND JOB VACANCIES 2025
Organization
FIND accelerates equitable access to reliable diagnosis around the world. We are working to close critical testing gaps that leave people at risk from preventable and treatable illnesses, enable effective disease surveillance, and build sustainable, resilient health systems. In partnership with countries, WHO and other global health agencies, we are driving progress towards global health security and universal health coverage. We are a WHO Collaborating Centre for Laboratory Strengthening and Diagnostic Technology Evaluation.
Project background
AI-powered screening and diagnostic tools such as chatbots, symptom checkers, and imaging technologies are instrumental in bridging diagnostic gaps. By delivering timely and accurate information, these tools empower individuals, support task-shifting, and streamline workflows for healthcare workers. Additionally, they enhance disease surveillance and enable better resource allocation.
To fully harness the potential of AI-driven diagnostics, key enablers must be in place:
- High-quality, reusable training and validation datasets that allow countries to develop AI algorithms tailored to their populations.
- Robust evaluation frameworks and practical approaches to ensure standardized assessment of AI-based diagnostics, particularly in low- and middle-income countries (LMICs).
- Capacity building and mentoring for policymakers and end-users to foster responsible AI adoption.
A critical challenge identified through discussions and workshops with partners is the absence of standardized frameworks for data collection and management—essential for training, evaluating, and monitoring AI products. Many regulatory agencies lack the contextual expertise needed to define data standards and regulatory processes. To address this gap, we are working to develop and promote clear diagnostic data management standards, ensuring the responsible adoption of AI-powered healthcare solutions.
Statement of Purpose
The project aims to achieve the two below objectives and outcomes:
Objective 1: Develop Best Practices and Standards for Diagnostic Data Management.
Outcomes: The goal is to equip LMIC partners with a consolidated, evidence-based set of guidelines to help them implement data management in their AI initiatives and provide them with a concrete example of data management for a specific use-case.
Objective 2: Build capacity for Local Data Standards Creation
Outcomes: By fostering best practices and knowledge development, we aim to empower LMIC stakeholders to drive data standardization and ensure AI based diagnostics are optimized for their intended populations.
Location: Indonesia
Scope of Work and Deliverables
The Data Manager Consultant will play a key role in designing standardized frameworks for data collection, annotation, management, and storage to support AI-based diagnostics. They will also work closely with the FIND project team to ensure effective achievement of project objectives.
Key responsibilities will include, but are not limited to:
Development of Best Practices & Standards for Diagnostic Data Management
- Assist in designing a framework for data collection, annotation, management, and storage tailored to AI-based diagnostic tools.
- Develop guidelines on ethical and industry-standard practices for data reuse, security, and interoperability.
- Provide technical expertise on data annotation approaches, tools, and quality control measures.
- Support the creation of specific data standards for a selected diagnostic use case (e.g., AI-driven chest X-ray interpretation).
Capacity Building for Local Data Standards Creation.
- Contribute to the development of an online training module on diagnostic data management and AI-based tool evaluation.
- Assist in designing training materials and toolkits to support local implementation of data standards.
- Organise and facilitate technical support for workshops and training sessions for data managers, scientists, industry experts and regulators etc.
Technical Advisory & Stakeholder Engagement.
- Support coordination between national and global stakeholders, ensuring alignment with project objectives.
- Engage with MoH AI Working Group, PUSDATIN-TTDK, and other relevant organizations to support integration of best practices into national frameworks.
- Provide technical recommendations on data governance, interoperability, and security measures.
- Support the project team in addressing challenges related to data standardization and AI-driven diagnostics evaluation and policy development.
Nature of Appointment
The selected candidate shall be on a consultancy contract at 100% up to December 2025, with flexibility to work and connect with colleagues in different time zones including (GMT+3, GMT+1).
Supervision & Reporting
The applicant will report directly to the FIND project lead or the designated point of contact.
Deliverables
- Developing a general framework for data collection, annotation, management, and storage tailored to AI based diagnostic tools in Indonesia.
- Creating specific standards for at least one use-case, providing technical guidance on a targeted diagnostic area like chest X-ray interpretation, cough sound or LUS.
- Develop an online training module and design training materials on diagnostic data management and technical guidance for local development and evaluation of AI-based diagnostic tools.
- Organize and facilitate workshops in Indonesia to train local data managers, data scientists, regulators and other stakeholders.
Qualifications & Experience required
- For Indonesians only.
- Bachelor’s or master’s degree in AI applications, data science, Computer Science, or a related field.
- Experience working with the Ministry of Health (MoH) and PUSDATIN (Data and Information Center).
- Strong understanding of data management principles and AI technologies.
- Good knowledge of the healthcare systems and digital health ecosystem in Indonesia.
- Experience in health data governance, interoperability standards, and security protocols.
- Proven ability to develop training materials and conduct capacity-building workshops.
- Strong written and verbal communication skills, including technical writing for both technical audiences and non-technical audiences.
- Previous working experience on AI tools evaluation and data architecture management.
- Fluency in English and Bahasa (written and verbal).
- Excellent problem-solving and collaboration skills.
- Experience in organizing and facilitating workshops with diverse stakeholders.
Application Guidelines:
Candidates interested in responding to this RFQ should submit a proposal, in Microsoft WORD, PDF or POWERPOINT format, including the following information:
Cover Letter
A brief statement of interest and suitability for the role.
Technical Proposal
Details on the approach and methodology to be used in executing the scope of work.
Experience & Qualifications
Summary of relevant experience and qualifications, including CVs of key personnel.
Financial Proposal
A detailed cost breakdown, including consultancy fees and any other relevant expenses.
Please direct your submissions and any questions to the following email: procurement@finddx.org.
The deadline for proposal submission is 2nd June 2025 at 23:59 CET.