Data Healthcare Manager (211226)

Boehringer Ingelheim

Data Healthcare Manager (211226)

Boehringer Ingelheim

Biberach, Germany


At Boehringer Ingelheim we develop breakthrough therapies and innovative healthcare solutions in areas of unmet medical need for both humans and animals. As a family owned company, we focus on long-term performance. We believe that, if we have talented and ambitious people who are passionate about innovation, there is no limit to what we can achieve; after all, we started with just 28 people. Now, we are powered by 50,000 employees globally who nurture a diverse, collaborative and inclusive culture.


Are you interested in building and leading an innovative Healthcare Data Science Team? Do you want to develop novel data-driven strategies to help bring real benefits to human health? Then we have an exciting opportunity for you!

We are creating a new healthcare data science group within our Discovery Research area aimed at using large healthcare external datasets to transform how we discover and develop new medicines at Boehringer Ingelheim.

Do you want to be part of our exciting new unit playing a crucial part in developing and implementing data steward and analytics workflows?

Then join our unit, help build our strategy to develop novel data workflows from large external healthcare datasets for IT integration and accessibility to stakeholders.

Embedded in Boehringer Ingelheim’s growing Global Computational Biology and Digital Sciences Unit, you can now have an impact on reinventing R&D! This is what you’ve been striving for? Then start your journey with Boehringer Ingelheim and actively contribute to the discovery of breakthrough therapies that will increase human health.

Discover our Biberach site:

Tasks & responsibilities

  • You lead a team of 5-10 data stewards and data scientists tasked with the development, execution and implementation of our data-driven innovation strategy ensuring long-term value of data assets according to FAIR principles;
  • Your team will be involved in the implementation of a data foundation (infrastructure & content) in close collaboration with IT-teams and business subject matter experts;
  • Together with your team you internalize trends in data science and develop strategies to ensure the identification of transformative use cases for advanced data management and analytics/machine learning within our Department and across other functions;
  • In order to define, curate, integrate and analyze data into and from an IT data foundation, you develop workflow strategies to enable your team to engage with external owners of large healthcare datasets;
  • You guide your team to develop strategies to collaborate not only with internal experts such as UX architects and data engineers but also with external partners to ensure the implementation and deployment of scalable data solutions;
  • Together with your team, you enable and develop workflow strategies for data integration and access for down-stream processes and data analytics.


  • PhD in bioinformatics, computational biology, system biology research, mathematics, statistics or a related field with longtime professional expertise. Experience as Post Doc would be of advantage;
  • Several years of relevant experience in multidisciplinary pharma R&D data management as well as in biology related research including the leadership of digital projects with domain expertise in disease therapy areas;
  • Profound understanding of data integration and management concepts such as semantic data integration, data modelling (e.g. with ontologies and taxonomies), knowledge graphs & FAIR principles;
  • In depth understanding of big data ecosystems (e.g. Hadoop, Spark, Hive), data warehouses and graph data bases, cloud storage and computing (e.g. AWS/Azure);
  • In depth understanding of Semantic Web technologies (e.g. RDF, SPARQL, OWL, SKOS) with a proven track record of the ingesting and cleansing of data from multiple large external datasets;
  • Extensive knowledge of advanced analytics, machine learning, and statistics including high performance algorithms, prototypes, predictive models and proof of concepts;
  • Proven track record concerning the work with scripting and programming languages (Web, VB Script, Python, Scala, Java, JavaScript etc.) as well as with statistical analysis software and visualization tools (e.g. R, Spotfire, Simca, JMP, WeKA, Statistica, R Studio etc.).


We will continue to hire talented people and we look forward to receiving your applications. As a result of COVID-19, we have introduced alternative working arrangements to ensure that our employees can stay safe and healthy, because the health of our employees is among our top priorities. At all company locations, we work remotely whenever possible. Additionally, we are now hosting virtual video interviews for applicants. During the limited in-person interviews we still have during this time, we pay special attention to distance and the hygiene rules recommended by the Robert Koch Institute. New employees who do not start on site in production or the laboratories are sent the necessary IT equipment, our Welcome Days take place online, and we plan to conduct their onboarding training virtually whenever possible.


This is where you can grow, collaborate, innovate and improve lives.

We offer challenging work in a respectful and friendly global working environment surrounded by a world of innovation driven mindsets and practices. In addition, learning and development for all employees is key, because your growth is our growth. We also offer a competitive salary, generous amount of vacation time, and numerous benefits towards your wellness & financial health and work-life balance. Plus, an onsite gym (Ingelheim), in-house doctor and best-in-class cafeterias and coffee bars to keep you energized and healthy. To learn more about what benefits could be waiting for you, please visit our Career area.

Want to learn more about us? Visit

Boehringer Ingelheim is an equal opportunity global employer who takes pride in maintaining a diverse and inclusive culture. We embrace diversity of perspectives and strive for an inclusive environment, which benefits our employees, patients and communities. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin.


Please contact our Recruiting EMEA Team: Artur Reich, Tel: +49 (7351) 54-175904.

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EuroJobsites is a registered company number: 4694396 VAT number: GB 880 9055 04

Registered address: EuroJobsites Ltd, Unit 8, Kingsmill Business Park, Kingston Upon Thames, London, KT1 3GZ, United Kingdom

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