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A leading pharmaceutical company is seeking an Associate Principal AI Scientist to apply advanced mathematical techniques for data science solutions. This role includes leading AI model development, guiding a team, and ensuring project quality. A strong background in machine learning and communication skills in both Japanese and English are essential. Candidates should have at least a Bachelor's degree and significant experience in analytical leadership.
The Associate Principal AI Scientist (Activity optimization lead) will direct the application of sophisticated quantitative expertise in advanced mathematical disciplines to develop innovative data science solutions. The role will drive the application of foundational and cutting‑edge techniques to manipulate and process structured and unstructured data, in combination with business domain knowledge, to develop and apply advanced modelling algorithms (e.g. classification, regression, clustering, NLP, image analysis, graph theory and more) to generate business and scientific insights. They likely coordinate the creation, maintenance and/or improvement of advanced AI models for ongoing and ad‑hoc review and analysis. The role will work autonomously with limited direct supervision from senior team members. Will provide coaching, task management and support to Associate AI Scientists promoting best practice across multiple domains, and/or stakeholder groups.
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日本語 Japanese:Business
英語 English:Business
Osaka
E
AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry‑leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non‑discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.