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    Opportunity: Machine Learning Scientist -- R&D @ A pharma company -- Germany
    Submitted by Eugene McDaid; posted on Friday, February 12, 2021



    As a Data Scientist you are at the forefront of turning an ever increasing amount of data into insights. With your excellence in cutting-edge data science and passion for finding scalable solutions for tough problems, you contribute to paving the way for an R&D that is driven through data and emerging digital science.

    Embedded in the company's growing Global Computational Biology and Digital Sciences Unit you will have an impact on reinventing R&D, thereby actively contributing to the discovery of breakthrough therapies that will increase human health.


    • You design and build the next-generation of analytics engines and smart assistants based on your strong expertise in data mining, statistics and machine learning.
    • The interactions with users and domain experts from all R&D functions help you to understand problem statements, identify use cases and design data science applications.
    • Furthermore, you collaborate with developers, data engineers, UI/UX designers and architects for the implementation of scalable solutions for our scientists.
    • In addition, you lead the data science part of digital initiatives as a member of a use case team and in collaboration with R&D functions and partners (e.g. IT or external partners).
    • You are looking forward to internalize trends in data science, including input from other industries and explore opportunities for transformative use cases in pharma R&D.
    • Through internal and external networking, collaboration and experimentation, you provide thought leadership to advance the discipline within the organisation.


    • PhD in computer sciences, mathematics, physics, bioinformatics or a related life sciences field
    • Several years of relevant work experience in data science, machine learning and in working in multidisciplinary environments
    • Expert knowledge in working with life science data domains
    • Experience in professional handling of large data volumes from various sources
    • Excellent in scientific programming and profound knowledge in statistical analysis software and visualization tools (e.g. R, Python, Spotfire, Tableau, etc.)
    • Strong communicator, open for innovation and a passionate team player
    • Fluent English (written and spoken)


    This is a highly challenging, technical role offering a competitive remuneration package and some great benefits.


    Please do not hesitate to contact Harvey Uppal at huppal[at] or call (+44) 121 616 3407 to discuss this opportunity further.

    Keywords: Data, Science, Machine, Learning, AI, Statistics, Statistical, Biological, Bioinformatics, Genomics, Analysis, Mathematics, Algorithms, Python, Spotfire, Pharma, Software, Germany

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