【AstraZeneca】【R&D】Senior Data Scientist, R&D Data Science and Innovation Division

Description

With the advent of large-scale data, different modalities, and advancements in new technologies, data science has become a crucial part of R&D. It plays a vital role in generating insights through data and advanced methodologies, connecting scientific questions across various stages of R&D, and enabling data-driven decision-making.

In this role, he / she will be responsible for leveraging scientific domain-specific knowledge (Bioinformatics and RWE) and / or expertise in clinical disease areas, specialized data processing techniques, analytical and machine learning capabilities to extract scientific insights from data and enable hypothesis generation.

Major responsibilities

• Responsible for developing R&D Japan Data Science and AI Strategy, aligning to our global priorities, as well as the execution plans. Being part of the global Data Science & AI group at AstraZeneca across therapeutic area (TA).
• Responsible for identifying opportunities and risks related to Data Science and AI for drug development within R&D Japan and implement them based on prioritization given in Japan R&D leadership team.
• Coordinate the implementation of new solutions based on expertise data science and AI technology to drive insights in scientific and clinical application areas, following the AZ Global Data Science Strategy. This includes integrating complex data from multiple sources and modalities (, multi-omics, RWE, clinical trials).
• Build and manage effective relationships with a wide range of external stakeholders (such as clinicians and biological researchers) and internal stakeholders (such as Global Data Science / AI, Japan Medical Affairs) to ensure the utilization and value of information resources.
• Design, develop and apply new state-of-the-art AI / ML methods and algorithms to bring insights from clinical and biological data.
• Partner closely with scientists across translational medicine, bioscience and bioinformatics to shape together the next generation of AI tools to drive biological insights and inform decision making.
• Communicate results, methods and practices to teams across the organization.
• Publish results in scientific journals and present in scientific conferences.
• Continuously develop knowledge and awareness of trends, standard methods, and new developments in analytics and data science to aid in the formation of solutions.

Qualification (Experience & Skill etc.)

Experience】

Mandatory＞

License】

Mandatory＞

Skill-set】

Mandatory＞

Languages】

Mandatory＞

English： Business English

Japanese：Native Level

Career Level】

Work Location】

Osaka or Tokyo

Date Posted

06-1月-2025

Closing Date