IT（PM・SE） - データサイエンティスト・データアナリスト
メディカル・バイオ - 統計解析

■職務内容/Job 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). https://www.astrazeneca.com/r-d/data-science-and-ai.html
• 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 (e.g., 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.

■休日：完全週休二日制, 年末年始

■ 応募資格（経験、資格等）/ Qualification (Experience & Skill etc.)
【経験 / Experience】
＜必須 / Mandatory＞
• Demonstrated strong technical skills including: applying and developing methods and algorithms in ML/AI, data sciences best practices, problem solving and analytical thinking.
• R and/or Python programming expertise in a Unix environment making use of high-performance computing environments
• Proven track record of presenting relevant results and tools in peer-reviewed journals, conferences, and other scientific proceedings.
• Proven track record as a scientific leader or project manager in clinical development-related fields.
• Effective problem-solving and conflict resolution skills with a proven track record of being team-focused.

【資格 / License】
＜必須 / Mandatory＞
• Bachelor and a PhD in quantitative and/or biological sciences (e.g. computer science, math, stats, ML/AI, Physics, computational biology, engineering, Bioinformatics) with a major research focus on Machine/Deep learning.

【能力 / Skill-set】
＜必須 / Mandatory＞
•Excellent Data Wrangling skills.
•Excellent written and verbal communication, business analysis, and consultancy skills in Japanese and English.
•Excellent interpersonal skills that enable effective communication with clinical and non-clinical colleagues, academics, and other professionals.
•Excellent communication skills; strong networking/consulting skills with internal/external experts
•Ability to work in a complex, business critical and high-profile environment building credibility in ambiguous situations
•Rapid adaptability to a new environment

【語学/ Languages】
＜必須 / Mandatory＞
英語 English： Business English
日本語 Japanese：Native Level

■職種未経験者：不可