Computer scientist (f / m / x)

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)

Job description

• In your new role, you will develop and evaluate novel statistical methods to quantify uncertainty in in-vitro ADME experiments and PK models for compounds in Discovery Research.
• Furthermore, you will improve PK profiling in lead optimization by guiding in vitro assay setup based on statistical analyses of our rich in-house pharmacological data sets.
• Moreover, you will collaborate closely across the gDDS with experts in drug discovery, data science, machine learning, in-vitro ADME and PK / PD modelling.
• You will apply your scientific skills, including statistical and regression-based analyses, to real-world ADME profiling programs for advance decision making.
• In addition, you will share your results at internal and external meetings, present at scientific conferences and publish in peer-reviewed journals.

Profile description

Recruitment process :

Step 1 : Online application - The job posting is presumably online until January 12th, 2025. We reserve the right to take the posting offline beforehand. Applications up to December 31, 2024 are guaranteed to be considered.

Step 2 : Virtual meeting in the period from 16. - 22.01.2025.

Step 3 : On-site interviews in the period from 10. - 14.02.2025. With us, 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. 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. Want to learn more? Visit https : / / www.boehringer-ingelheim.com