求人・転職情報

仕事内容：
創薬研究プロジェクト加速のため、現場研究者との議論を通じて研究データ・ナレッジ利活用における本質的・潜在的な課題やニーズを同定し、最新のデジタルIT技術を活用して解決に導く。
それらを実現するための中長期戦略を立案し、研究員および部門マネジメントとの議論を通じた組織的意識改革および戦略遂行を実践することで意思決定サイクルを加速する。
将来的なマネジャーもしくはプロフェッショナル職候補として、多様なメンバーを巻き込みプロジェクト推進をリードするとともに、周囲のロールモデルとなり継続的な組織のケイパビリティ向上に貢献する。

■Position Purpose:
Provide an overview of the responsibilities of the position by providing a summary of the most important aspects and duties of the position.

The Statistical Scientist provides components of statistical contribution to a clinical development program. The Statistician implements statistical strategies for the clinical trials and regulatory submissions, and is accountable for the statistical deliverables. The position will support the Japan clinical/PMS team with statistical expertise, ad hoc analyses and interpretation of requests from PMDA. The Statistical Scientist will collaborate with the global CSL team on the design of global studies including Japan and on stand-alone studies conducted in Japan only. It is expected that the candidate will be experienced with PMDAs requirements regarding CDISC and to communicate these effectively to the global Biostatistics.

■Main Responsibilities and Accountabilities:
List the roles and responsibilities of the position (please limit the number of responsibilities to the primary ten.)
-Support Biostatistics to conduct study data collection, data analysis, reporting, and submission preparation.
-Be accountable for timely completion and quality of the statistical analysis plan.
-Manage outsourcing operations for assigned projects.
-Ensure timeliness and quality of deliverables by CRO, and conduct reviews of CRO deliverables to ensure quality.
-Support Biostatistics and data management related interactions with authorities (especially PMDA), including submissions to PMDA.
-Be responsible for compilation of the CDISC deliverables for the PMDA submissions and ensure its quality per the PMDA requirement.
-Be responsible for result accuracy in study report and regulatory submission documents.
-Manage preparation for the GCP inspections and lead the discussion at the on-site sponsor inspections related to data science areas (biostatistics, data collection and data management)
-Conduct ad hoc statistical analyses.
-Support improvement initiatives and related standards for infrastructure / process / scientific consulting.

Job Description
”Better Health for People, Brighter Future for the World” is the purpose of a company. We aim to create a diverse and inclusive organization where people can thrive, grow and realize their own potential while enabling our purpose. We continue to innovate and drive changes that will transform the lives of patients. We’re looking for like-minded professionals to join us.

Takeda is a global values-based, R&D-driven biopharmaceutical leader. We are guided by our values of Takeda-ism, which has been passed down since the company’s founding. Takeda-ism incorporates Integrity, Fairness, Honesty, and Perseverance, with Integrity at the core. They are brought to life through actions based on Patient-Trust-Reputation-Business, in this order.
・Provide statistical support for Takeda preclinical campaigns for design and analysis in the discovery and development of targets and molecules for one or more disease areas.
・Collaborate with Computational Biology, Pharmacokinetics, and Safety scientists to explore methods and implement discovery strategies to enable data-driven decision making.
・Apply frequentist, Bayesian, ML/AI fit-for-purpose statistical analyses across various projects and data types.
・Serve as an expert and mentor in Quantitative Sciences group within implementing statistical development strategies using statistics and cross-disciplinary integrative data analytics.

Accountabilities:
・Lead implementation of SQS strategies and ensure deliverables by representing data science function on project teams in support of preclinical studies throughout the drug discovery units and supporting functions.
・Perform end-to-end data analyses, from hypotheses formulation, experimental design, writing analysis plans, data cleaning, executing analysis, and preparing reports and documentation.
・Strengthen Takeda’s advanced analytics toolkit by identifying, promoting, and applying emerging techniques, as well as by developing novel analysis tools as needed.
・Collaborate effectively within a matrix environment, working with scientists across various areas to understand the problems in terms of its chemistry, biology, and/or physical natures and to tailor data analyses to program-specific needs.
・Work closely with Takeda statisticians to ensure statistical issues in data analysis are addressed.
・Communicate internal and external resource and quality issues that may impact deliverables or timelines of the program. Escalate issues to management as appropriate in a timely manner.
・Respond to regulatory questions that are statistical in nature.
・Increase the external recognition of Takeda’s data science work by participating in conferences, publishing work and developing external collaborations.