**About Human Pharmaceutical Business** With global presence, Boehringer Ingelheim has industry-leading expertise in medicine research and development. We are constantly developing the next generation of medical breakthroughs and successfully delivering innovations to meet the medical needs of the patients we serve in the following key areas of interest: cardiovascular, respiratory, metabolic diseases, immunology, oncology and central nervous system. In the future, we will accelerate the launch of more than 10 innovative medicines to meet the demand of Chinese patients. **Job Responsibilities** -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. -Keep abreast of data science and in particular new transformation and analysing solutions and innovative processes/tools within and outside Boehringer Ingelheim. -Present compelling validated stories regarding data science aspects to BDS colleagues and colleagues within and outside of BI with basic knowledge in data science. -Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. -Support other colleagues, internal and external customer and external providers on data science related tasks. -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. -If applicable, supports the clinical drug life cycle process as a BDS Product Owner on the level of projects/assets. -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. **Job Requirements** -Bachelor of Science (BSc) or Master of Science (MSc) in Statistics, Mathematics, Computer Science or related field (Psychology, Data Science, Finance, etc). -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. All qualified applicants will receive consideration for employment without regard to a person’s actual or perceived race, including natural hairstyles, hair texture and protective hairstyles; color; creed; religion; national origin; age; ancestry; citizenship status, marital status; gender, gender identity or expression; sexual orientation, mental, physical or intellectual disability, veteran status; pregnancy, childbirth or related medical condition; genetic information (including the refusal to submit to genetic testing) or any other class or characteristic protected by applicable law.