Machine Learning Scientist
Merck KGaA
We are currently hiring a Sr. Machine Learning Scientist in our Science and Technology office. This key role will strengthen our Digital Chemistry team, driving digital innovation across our business sectors with data and physics-based technologies. The successful candidate is expected to independently deliver projects, developing AI driven workflows for our pharma and life science pipelines, as well as in our chemical processes and material development sectors. Your efforts will play a significant role in raising the bar of our digital transformation journey. You will communicate with our internal stakeholders and partners, assisting them in understanding and implementing the most relevant technologies. In an environment that values open disagreement and decisive action, you will be part of an interdisciplinary, globally based team. This role can be operated from either Cambridge (USA) or Shanghai (China). Who you are Minimum Qualifications Degree in Computational Biology, Computational Chemistry, Bioinformatics or Data Science in related field, PhD is a plus Preferred Qualifications Experienced in using data-driven modeling Machine learning expertise with natural science context, proficiency in programming, e.g., Python or other languages Strong publication record in scientific modeling, deep learning, or a similar area Excellent at communicating and operating in an international environment Bonus: Industry experience or a track record of applying innovative solutions for materials project delivery Bonus: Hands‑on knowledge in generative AI for chemistry or biology Benefits Opportunity to expand your skills in a scientific, technical and business dimension at the same time Intellectual challenge to solve some of the most complex problems in the industry and innovate on entirely new digital business models Stimulating work environment in a very diverse, high caliber team We celebrate all dimensions of diversity and believe that it drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress. #J-18808-Ljbffr
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