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, and stakeholder communication. Qualifications Master’s degree or bachelor’s degree in Computer Science, Data Science, Business Analytics, Artificial Intelligence, Engineering, Statistics, Mathematics
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to contribute to the design and dissemination of research studies, delivery of educational sessions and training offered by the BISI team, and mentoring of BISI researchers and students. Theory development
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of contributing to peer-reviewed publications in healthcare or biomedical research. Good foundation in statistical theory, methods, and application to real-world datasets. Possess strong analytical thinking and
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, including experience with interview design, data collection, and thematic analysis. • Familiarity with path dependency theory and its application to policy studies. • Excellent communication and
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, including experience with interview design, data collection, and thematic analysis. • Familiarity with path dependency theory and its application to policy studies. • Excellent communication and
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or Mathematics, Computer Science or another quantitative field, but higher qualifications (Master’s or PhD) is preferred. Excellent knowledge of at least one of the following scripting/programming languages
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of public health interventions and/or health technologies; Comparative effectiveness analysis including systematic review, meta-analysis, and analysis of real-world evidence; Economic theories to support
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. Collaborate with external partners and industry stakeholders to apply research findings in practical settings. Qualifications Solid mathematical foundation and analytical skill; preferably with a Bachelor's
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tasks as assigned to ensure the smooth operation of research-related activities. Qualifications • Degree holder, preferably in a quantitative discipline such as mathematics, science or engineering
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analysis (e.g., knowledge of Qualtrics, R, Python, etc., with strong statistical theory). An outstanding research record appropriate to the present stage of career, with evidence of potential for producing