Learning Science Lead

Company Description DAWN AI STUDY is a neurotechnology company pioneering AI-powered learning systems designed for inclusion, diversity, and accessibility. The organization combines AI, neuroscience, and cognitive data to understand how every child learns, regardless of neurotype, and to bridge the gap between education and neurotechnology. Its flagship innovation, AIDA (AI Diagnostic Agent), uses advanced brain-computer interaction, speech AI, and cognitive analytics to detect neurodivergent traits in K–12 learners and deliver personalized support for families, educators, and clinicians. DAWN AI STUDY is building Africa’s first cognitive learning infrastructure to help stakeholders unlock each learner’s potential from local classrooms to global standards. The company’s vision is to make neurodiversity a core foundation of Africa’s education system so that no child is unseen, unheard, or unsupported. Role Description The Learning Science Lead is a contract role responsible for shaping and guiding the learning frameworks that power DAWN AI’s neurotechnology solutions. This hybrid position is based in Lagos State, Nigeria, with a mix of on-site collaboration and work-from-home flexibility. Day-to-day responsibilities include designing evidence-based learning models, collaborating with product and engineering teams to embed instructional principles into AI systems, and translating cognitive and neuroscience insights into practical learning experiences for K–12 learners. The role also involves developing and validating assessment frameworks, supporting training materials for educators and caregivers, and ensuring that learning interventions align with inclusive, neurodiversity-informed practices. The Learning Science Lead will work closely with internal stakeholders and external partners to evaluate impact, refine methodologies, and contribute thought leadership in learning science and educational innovation. Qualifications

Candidates should possess skills in Learning Management and Learning Management Systems, including experience implementing or optimizing platforms that support K–12 or similar learning environments. Candidates should possess skills in Training & Development and Instructional Design, with a track record of creating structured, evidence-based learning programs and educational content. Candidates should possess strong Communication skills, including the ability to explain complex learning science concepts to technical and non-technical stakeholders and to collaborate across multidisciplinary teams. Advanced knowledge of learning science, cognitive psychology, or neuroscience as applied to education, ideally supported by a graduate degree in Education, Learning Sciences, Psychology, Neuroscience, or a related field. Experience working with or designing for neurodivergent learners, inclusive education programs, or special education contexts. Proven ability to work in hybrid setups, manage multiple projects, and operate in fast-paced, innovation-driven environments. Familiarity with AI-powered educational tools, data-informed decision making, and outcomes-based evaluation is highly beneficial.

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