AI Fellow, AI & Global Health Innovation, Center of Digital and Data Excellence
- Lead and contribute to research activities across multiple projects (supported by AI team leadership), including, for example:
- Developing automated monitoring and evaluation methods to detect potential harms caused by AI-enabled mental health products in real time.
- Deploying and evaluating an AI Co-Scientist to identify novel correlates of protection to accelerate vaccine development.
- Apply quantitative research methods (e.g., experimental study design, benchmarking framework design, statistical analysis etc.) and technical AI methods (e.g., agent architecture design and development, prompt engineering, evaluation method development etc.) independently and in collaboration with our partners.
- Conduct technical writing of study protocols, reports, and peer-reviewed publications.
- Collaborate with academic, industry, and government partners to ensure methodological rigor and relevance.
- Support the design, execution, and monitoring of research work packages.
- Manage research outputs including datasets, evaluation frameworks, software toolkits etc.
- Coordinate with partners (e.g., Google, University of Washington, African Medicines Agency, Wellcome Trust, Gates Foundation) to deliver joint activities.
- Ensure compliance with PATH and donor research ethics and data protection standards.
- Liaise with regulators, policymakers, product developers, lived experience experts, and subject matter experts to co-design research activities, tools, and frameworks.
- Support dissemination of findings through publications, open-access toolkits, workshops, and conferences.
- Promote global access by ensuring research outputs are openly shared and designed for LMIC applicability.
- Contribute to PATH's thought leadership in AI and global health.
- Relevant BSc or MSc with significant (3+ years) research experience, or PhD in a relevant field (e.g., AI for public health, (clinical) psychology, computational biology, computer science, machine learning, or a related field).
- Expertise in one or more of the following areas: natural language processing, AI benchmarking and evaluation, agentic AI architectures, human-AI collaboration, clinical AI, mental health science, clinical psychology, immunology
- Strong coding skills, as necessary to carry out independent AI research, including experience piloting AI/ML models in Python
- Excellent scientific writing skills, ideally as demonstrated by peer-reviewed publications.
- Great communication and interpersonal skills, and a strong ability to collaborate within interdisciplinary and multicultural teams.
- Commitment to PATH's values of health equity, innovation, and partnership.
- Experience working on multi-partner, interdisciplinary research projects.
- Experience applying AI innovations to improve global (mental) health.
- Experience evaluating the quality and/or safety of AI products in (mental) health.
- Experience engaging with diverse stakeholders (e.g., researchers, regulators, policymakers, product developers) to conduct research and disseminate outputs.
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