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求人情報詳細

Staff, Clinical Data Sciences Group, Biostat & Data Science J

求人番号
NJB2186097
採用企業名
日本ベーリンガーインゲルハイム株式会社
職種

メディカル・バイオ - メディカルデータマネジメント
メディカル・バイオ - 統計解析

雇用形態
無期雇用
勤務地
東京都
仕事内容

Basic purpose of the job
Supports the complete clinical/pharmaceutical drug life cycle process (research, development, market access, market supply) by providing strategic planning and execution, including data transformation and all aspects of descriptive, diagnostic, predictive and prescriptive analytics of data related to projects like actual clinical trial data, clinical registries and real-world data bases. In particular this includes the provision of analytics tools, outputs and inference as necessary for the specific use case.
May act as a BDS product owner on project/asset level.
Represent BDS at a project/asset level regarding data science related aspects.

Accountabilities
・Accountable for transforming, analyzing and reporting studies/projects such as phase I-IV clinical trials and supports complex studies/projects such as complex phase I-IV clinical trials or projects with established BI experience. Accountable for transforming, analyzing and reporting of other data from the clinical drug life cycle process like registries and real-world data bases with respect to a specific use case or project/asset.

Related performance indicators
Quality transforming, analyzing and reporting deliverable per process, with timeline adherence.
Feedback from development team colleagues within and outside BDS, related POs and capability managers.

・Keep abreast of data science and in particular new transformation and analysing solutions and innovative processes/tools within and outside BI.

Related performance indicators
Quality of new transformation and analysing solutions and innovative processes/tools. Feedback from team colleagues within and outside of BDS, related POs and capability managers.

・Present compelling validated stories regarding data science aspects to BDS colleagues and colleagues within and outside of BI with basic knowledge in data science.

Related performance indicators
Quality and frequency of stories presenting. Feedback from audience regarding their understanding.

・Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements.

Related performance indicators
Quality and regulatory acceptability of data transformation and analysis specifications.

・Support other colleagues, internal and external customer and external providers on data science related tasks.

Related performance indicators
Feedback & satisfaction from colleagues supported. Increased knowledge sharing in the CDS Community of Practice.
・Participate in cross-functional One Human Pharma internal working-groups or lead cross-functional BDS internal working-groups and drive/plan relevant data science aspects.

Related performance indicators
Frequency and quality of participation/leadership. Impact of WG results on business. Feedback from GPO/PO.

・If applicable, supports the clinical drug life cycle process as a BDS Product Owner on the level of projects/assets.

Related performance indicators
Quality of leadership and deliverable per product, with timeline adherence. Feedback from team colleagues within and outside of BDS, related POs and capability managers.

・Ensures cross-functional and team-based working within BDS and with neighbouring units at BI. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking.

Related performance indicators
Quality and frequency of cross-functional tasks being performed and/or cross-functional collaborations. Feedback from team colleagues within and outside BDS, related POs and capability managers.

Regulatory and / or Organisational Requirements
Know, understand, and implement
(i) international regulations and guidelines for good clinical and statistical practice from all ICH regions,
(ii) the various international guidelines on clinical development, including statistical methodology, for TA-related disease areas, and
(iii) BI processes and SOPs that govern clinical development in particular with respect to strategic areas (e.g. Clinical Development Plan), and, if necessary,
(iv) other internal or external regulations such as good laboratory practice or good manufacturing practice.

Job Complexity
Solves complex, defined problems with operational/limited strategical impact within clinical drug life cycle process, taking into account needs and requirements of other units and departments.

Interfaces
Interacts with various other functions and roles within and outside of BDS contributing to and/or having operational impact regarding substance level. This includes colleagues from GCO, GPV, Therapeutic Areas, TMCP, GRA, Research, Development and Pharma Supply. Represents BI for regulatory issues and requests around planning, analyses and data transformation regarding the trial/project/asset.


■休日:完全週休二日制, 土, 日, 祝日, 年末年始

求める経験
年齢制限の理由

Minimum Education/Degree Requirements
Bachelor of Science (BSc) or Master of Science (MSc) in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc).

Required Capabilities (Skills, Experience, Competencies)
- Sound knowledge of statistical methodology, design of experiments such as clinical trials, basic terminology of the supported area/asset and on processing information such as clinical trial information.
- Understanding of advanced statistical concepts related to Data Science.
- Language skills: English: fluent (Read/Write/Speak).
- Proficient in the use of relevant software languages.
- Mindful of local, global, internal and external cultures to ensure that messages are received positively and effectively.
- Ability to lead and facilitate meetings.
- Evidence of strong teamwork, also in global and remote context.
- Good interpersonal skills with the ability to interact effectively with people, internally and externally (e.g. CROs, experts, management).
- Ability to pro-actively identify issues and solutions and to interact with internal and external bodies on routine data science issues.


■職種未経験者:不可

年収
620万円 - 900万円
語学力
英語力:中級以上
実務上コミュニケーションに支障のないレベル
受動喫煙対策
就業場所 全面禁煙
受動喫煙対策詳細

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