Plan, storyboard, and conceptualise creative ideas for the client’s video and static content (photos, memes, product demos, behind-the-scenes videos, quotes,etc)
Film & edit engaging content for Instagram, Facebook, TikTok and YouTube
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A combined Medical and Masters (or equivalent clinical and public health qualification) or PhD equivalent qualification in a relevant field such as digital health, public health, information systems, or a closely related discipline.
At least 3 years of post-degree experience supporting implementation of digital health/technological innovations in health or related sectors. This should include a track record in conducting user-research and evaluation (e.g. usability testing, structured interviews, development of standardised instruments for usability, workload or technology adoption), together with hands-on technical experience (e.g. platform/system deployment, data engineering, or direct experience working with technical teams/ software developers) to translate research findings into actionable technical specifications.
Strong written and verbal communication skills, to engage directly with a range of stakeholders (e.g., laboratory scientists, epidemiologists, programme managers and policymakers, across different country and institutional contexts) and multi-disciplinary technical teams, with the ability to translate research findings into clear, actionable recommendations for both technical and non-technical audiences.
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Develop the formative readiness assessment with country partners, including stakeholder interviews, workflow mapping, and documentation of infrastructure, data flows and governance context.
Design and conduct user research activities during platform testing, including usability testing, structured interviews and narrative walkthrough sessions with laboratory, epidemiology, programme and policy end-users.
Administer and analyse structured feedback instruments (e.g. usability, workload and technology-adoption measures) and synthesise findings into clear, prioritised recommendations.
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Design and develop modular, portable, and production-ready code that can be deployed across cloud platforms (AWS, GCP, Azure) or on-premise.
Re-architect and develop our existing system to support conversion of complex business and retail-specific requirements into scalable and reusable software components.
Design and build AI-driven systems components that seamlessly integrate research models into robust, scalable business solutions.
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