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

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 up to substance/asset level.
Represent BDS at a substance/asset level regarding data science related aspects.

Accountabilities
・Lead and oversee designing, transforming, analyzing and reporting complex studies/projects such as complex phase I-IV clinical trials or projects with established BI experience and supporting complex international projects. Lead and oversee designing, 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 within and outside BI. Turn derived insights into new data science approaches relevant for discovery, clinical development, registration, manufacturing or marketing of drugs.

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

・Present compelling validated stories regarding complex data science aspects to BDS colleagues and other professionals within and outside of BI.

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.

・Guide and/or lead other colleagues, internal and external customer and external providers on data science related tasks.

Related performance indicators
Feedback & satisfaction from colleagues guided. Increased knowledge sharing in the CDS Community of Practice.

・Participate in cross-functional BI internal working-groups or lead cross-functional One Human Pharma internal working-groups and drive/plan relevant data science aspects. Participate in external working groups.

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

・If applicable, supports the clinical drug life cycle process as a BDS Product Owner up to the level of substance/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 other units at BI. Fulfils tasks of other functions as needed and possible. Contributes to cross-functional- and team-based thinking.
Support fostering innovative digital approaches to produce sophisticated, intelligent optimization solutions, innovative processes and predictive models.

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

■休日：完全週休二日制, 土, 日, 祝日, 年末年始

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

Required Capabilities (Skills, Experience, Competencies)
- Thorough 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.
- In-depth understanding of advanced statistical concepts related to Data Science.
- Language skills: English: fluent (Read/Write/Speak).
- Advanced working knowledge of broad variety of aspects 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.
- Ability to develop and deliver training related to data science topics.
- 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.

上記はノンラインマネージャー採用での必須条件です

■職種未経験者：不可