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 - Lead and oversee designing, transforming, analyzing and reporting complex studies/projects such as complex phase I-IV clinical trials or projects with established Boehringer Ingelheim 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.Keep abreast of data science within and outside Boehringer Ingelheim. - Turn derived insights into new data science approaches relevant for discovery, clinical development, registration, manufacturing or marketing of drugs. - Present compelling validated stories regarding complex data science aspects to BDS colleagues and other professionals within and outside of oehringer Ingelheim. - Ensure data transformation and analysis specifications to ensure completeness, correctness and adherence to department guidelines and SOPs as well as to applicable GxP requirements. - Guide and/or lead other colleagues, internal and external customer and external providers on data science related tasks. - 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. - 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. - 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.
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). - 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.
