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13The Decision Science and AI factory unit at Bayer Pharmaceutical work closely with all the functions to support the digital transformation with the empowerment of the data science and advanced analytics skillset. We solve hard analytical problems and build solutions with the mission to improve the overall efficiency and decision making in the company. If you are interested in joining a young and dynamic team applying bleeding edge data science and technologies to all kind of data types, we would like to hear from you.


YOUR TASKS AND RESPONSIBILITIES


· Conduct advanced data modeling and deliver comprehensive analytical insights, and AI (esp. Generative AI) components to support decision-making, while seamlessly integrating AI components into digital product offerings
· Stay at the forefront of AI applications in life sciences, actively explore collaboration opportunities
with academic institutions, and evaluate emerging solutions to maintain competitive technological advantage
· Systematically assess business challenges to uncover opportunities for data-driven solutions that streamline
operations and enhance decision-making processes
· Champion the evolution of experimental data science and generative AI prototypes into production-ready,
enterprise-scale solutions with demonstrable ROI.

WHO YOU ARE

· Master’s degree or PhD. in quantitative fields, like statistics, applied mathematics, computer science, with strong application experience.
· 6 years healthcare industry experience, and consulting or top pharma background is a big plus
· Expert level knowledge in machine learning and generative AI is needed, and one of the following areas will be a big plus: statistical modeling, deep learning, natural language processing, suggestion engine, consumer data profiling, artificial intelligence etc.
· Expert-level Python with extensive experience in PyTorch, TensorFlow, and Hugging Face Transformers
· Proficiency in generative AI libraries, like LangChain etc.
· Experience with cloud AI platforms, like AWS Sage Maker and Bedrock .
· Strong SQL skills and experience with big data technologies, like Databricks.
· Strong business analyst skills and across functional communication.
· Fluent in English both written and spoken.
· Strong skills in presentation of results and outlining of solutions to the business
· Ability to work in an interdisciplinary and agile environment


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