Machine Learning Scientist

Are you passionate about data science and eager to apply your expertise in Machine Learning to contribute to further advancement of our data-driven and AI-enabled Pharma R&D value chain? We are looking for a Machine Learning Scientist with a broad technical skillset. In this position, you will contribute to turning an ever-increasing amount of diverse data from insights over prototypes to productionized tools that support the discovery and development of novel therapies. As part of our growing Computational Innovation (@computationalinnovation, CI) function at Boehringer Ingelheim, you will step into a world of digital innovation, data-driven approaches and cutting-edge computational science. You will be part of a global, multicultural, and open-minded team working at the interface of AI/ML and biomedical research. This position has a hybrid setup with approximately 2-3 days per week on site. This position is part time eligible with 80 %. Tasks & responsibilities In your new role, you will collaborate closely with scientists and domain experts on challenging problems in drug discovery, translating scientific questions into data-driven approaches. You will develop and evaluate Machine Learning and Data Science prototypes under guidance, leveraging modern ML/DL paradigms and high-quality data (e.g. imaging, clinical, and other biomedical data modalities). Furthermore, you will work in cross-functional teams with data engineers, software developers and other experts to support the implementation of scalable solutions. You will contribute to identifying promising data science applications and exploring their potential for impact in pharmaceutical R&D. Moreover, you will look forward to internalize trends in Machine Learning/AI, including input from other industries, and explore opportunities for transformative use cases in pharma R&D with a focus on drug discovery and drug development. Through internal and external networking, collaboration and experimentation, you will contribute to advancing the discipline at Boehringer Ingelheim. Requirements PhD in computer science, mathematics, physics, life sciences or a related field Strong foundation in Machine Learning, Deep Learning and Data Science with experience in common Python-based tool stacks Experience in modern ML paradigms such as foundation models or multimodal learning with exposure to biomedical data domains Familiarity with modern software development practices and initial exposure to cloud environments and ML deployment concepts Ability to quickly learn new scientific topics and apply AI/ML approaches effectively Strong problem-solving mindset, curiosity and a collaborative, can-do attitude As part of our commitment to transparency and fairness, salary information will be shared during the recruitment process. We also offer a comprehensive benefits and wellbeing package. Applications from persons with severe disabilities are warmly welcomed. In cases of equal qualifications, such applicants will be given preferential consideration in the selection process. #J-18808-Ljbffr Boehringer Ingelheim GmbH