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Professional Degree students create early connections with our colleagues and learn more about our recruiting process for full-time roles starting 2027. You will receive invitations to our recruiting events and
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small molecules, as well as exciting new modalities (including ADCs and Immunotherapies). The key learning objectives of the fellowship program are to understand: • Scientific research process (including
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analytical and critical thinking skills Proficiency in data analysis tools, including AI; ability to learn new platforms and tools quickly Excellent written communication skills, particularly in explaining
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. During this informative session, participants will have the unique chance to: Hear from Oliver Wyman consultants Engage with industry experts Learn how to apply for the upcoming program and role, our
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training from leading scientists at Children’s Hospital of Philadelphia and the University of Pennsylvania School of Medicine. Learn more about the event here . This forefront NIH-sponsored postdoctoral
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, for example, incorporating AI in the right places, including proposing enhancements based on user needs, product goals or observed data gaps. Ideal candidates are eager to learn not only the data itself, but
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groups and the opportunity to learn from experienced publishing professionals Support from a buddy from one of Springer Nature’s employee networks Access to career development, training and events
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to synthesize information from multiple scientific sources • Proficiency with — or the ability to quickly learn — visualization and design tools (e.g., BioRender; Adobe Illustrator, Canva, AI image generators