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Julian Stopp
Data Scientist @Valneva
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WORK HISTORY
Data Scientist @Valneva
Vienna, AT
Pharma Data Scientist- Bridging multiple Deparments: Clinical Trial Material Analytics, Assay Development, Quality Control, R&D and Production in a cross-functional role- Drive integration of LIMS, including static data setup, reporting, custom coding, equipment integration and definition of best practices- Drive laboratory automation and digitalization initiatives across analytical workflows- Design and maintain a SharePoint-based knowledge platform (term store, library architecture)- Prepare and structure Excel datasets and databases for downstream dashboarding and analytics tools- Apply statistical methods (Shelf life assessment) and implement Design of Experiments (DoE), including authoring a white paper on in vivo DoE in collaboration with Sartorius- Contribute to a company-wide AI-based knowledge management initiative.
EDUCATION
Institute of Science and Technology Austria
Doctor of Philosophy - PhD, Immunology and Data Science
Heidelberg University
Master of Science (M.Sc.), Molecular Biosciences - Major Infectious Diseases
Biberach University of Applied Sciences
Bachelor of Science (B.Sc.), Pharmazeutische Biotechnologie
SKILLS
ABOUT JULIAN STOPP
Curiosity - Self-Improvement - Independence are three adjectives that best describe my character. Curiosity drove me into the field of science as I always had the urge to understand how things are really working. Today, curiosity is driving me in research, to answer some of the \"How\" questions in biology, like how are leukocytes integrating chemokine signaling into spatial migration? Following my curiosity, I gained a broad insight into several areas of life sciences by working in the fields of virology, medical- & industrial- biotechnology and immunology. This curiosity is also driving my determination to improve myself by learning. I am always interested in further expanding my skills and have attended courses and seminars related to my field of study as well as far outside of it. I have taken courses in statistics, programming (machine learning, R, python, MATLAB), physics (e.g. dark matter) and math (e.g. differential equations, linear algebra, stochasticity), which have helped me expand my knowledge to support my career.The ability to work independently on challenging projects is also a hallmark of my character. During both my Master\'s thesis and PhD I have preferred to work on new projects where little previous knowledge of the material was established in the lab. This requires a lot of establishment work which I have been able to achieve successfully without extensive supervision. I am not in need of micromanagement and am perfectly capable of working and progressing on my own.I further enjoy working in an interdisciplinary environment as in the institute of my PhD program. At IST Austria, we are able to foster strong interactions between scientists of different fields like math, physics, neuroscience and biology with diverse backgrounds and topics. These diverse interactions, which have helped me to develop broader viewpoints and scientific perspectives, which have been invaluable in my development as a researcher.
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