Post Doc - Data Science in Drug Discovery

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. The Position As a Post Doctoral Data Scientist, you will work at the forefront of data-driven research in drug discovery and shape how the global Drug Discovery Sciences (gDDS) department makes key decisions when developing new medicines. Join the Data and Digital Sciences team and collaborate with an inter-disciplinary group of experts in data science, drug discovery, and our Research DMPK functions including PK/PD modelling and in-vitro ADME. You will apply your data analytical expertise to a diverse range of in vitro data from ongoing and past drug discovery programs, such as hepatocyte stability assays, and assays to predict drug-drug interaction characteristics (CYP induction and CYP inhibition assays). We are interested in your ideas to improve the analysis and design of in-vitro ADME studies and related prediction methods based thereof. Your work and ideas will actively contribute to selecting the most promising drug candidates and to the overall discovery of new drugs within Boehringer Ingelheim’s research pipeline. This Position is limited for 2 years. Note: To make it easier to find our job advertisements, we use the usual designation "Post Doc". Of course, this advertisement is not only addressed to applicants directly after completing their doctorate, but to all qualified candidates.

Post Doc - Data Science in Drug Discovery (m/w/d)

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