年収1,600万円以上／統計解析の求人・転職情報

<職務内容>
The Project statistician develops or assists in the development of protocol designs, clinical plans, and data analysis plans in collaboration with physicians, veterinarians, and/or medical colleagues. The Project Statistician is responsible for working with research associates and scientists to establish a reporting database and for analyzing data for these types of studies.

[Clinical Project Statistician]
Provide strong statistical leadership in the process of drug development.

[Real World Analytics Project Statistician]
Provide input and statistical leadership for post launch activities including Health technology assessment (HTA), real world evidence (RWE) research, post-market safety studies, medical affairs publications to maximize the value of our products in collaboration with cross-functional and cross-regional partners.

主な職責/Primary responsibilities
Statistical Trial Design and Analysis

[Clinical Project Statistician]
・Operate in collaboration with study personnel to provide input on study protocol, design studies and write protocols for the conduct of each study.
・Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol, and conducting the actual analysis once a reporting database is created.
・Collaborate with data management in the planning and implementation of data quality assurance plans.
・Maintain currency with respect to statistical methodology, to maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.
・Participate in peer-review work products from other statistical colleagues.

[Real World Analytics Project Statistician]
・Lead statistical activities with the development of protocols, analysis plans and analysis execution and interpretation for RWE research and post-market safety studies.
・Provide technical statistical leadership for network meta-analysis/indirect comparisons, economic modelling and dossier development for Health technology assessment (HTA).
・Ensures high quality statistical support for projects through the oversight of external suppliers and provides input into outsourcing strategy and processes.
・Influences cross-functional team members regarding appropriate research method.

Communication of Results and Inferences
・Collaborate with team members to write reports and communicate results.
・Assist with, or be responsible for, communicating study results via regulatory submissions,
manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings.
・Respond to regulatory queries and to interact with regulators.

Therapeutic Area Knowledge
・Understand disease states in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor.

Regulatory Compliance
・Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable Corporate, Medical, local, and departmental policies, procedures, processes, and training

＜職務内容/Job Responsibilities＞
医薬品ライフサイクルを通して、必要な実臨床下（リアルワールド）データの取得、構築、利活用の包括的な戦略立案と実行をリードし、エビデンス創出力を革新的に向上させる役割を担います

＜主な職務＞
・領域および組織横断的なRWD取得あるいは構築の包括的な戦略、計画の立案と実行
・国内外部環境革新を活用したRWD利活用戦略の促進や環境における課題解決を促進し、RWDの活用機会を最大化する
・利活用（分析や報告など）要件に応じたRWDの品質保証とデータセットの作成
・ITソリューションによる分析ケイパビリティやデータプラットフォームの革新

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。

臨床研究（治験を含む）におけるデータマネジメント業務支援及びセンター内のSE業務全般

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.

臨床試験データの統計解析。

＜主な内容＞
・統計解析ソフトSASによるプログラミング、仕様書の作成。
・SDTM・ADaMデータセットの作成。
・総括報告書(CSR)用の解析結果の作成。