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Do you share a desire to advance scientific knowledge and capitalise on the revolution in data, automation and predictive sciences to deliver measurable impacts on the success and progression of GSK’s medicine discovery portfolio?
The Data, Automation and Predictive Sciences (DAPS) function of GSK Research Technologies focuses on large-scale data generation, curation, analysis and prediction to deliver higher PTRS (Probability of Technical and Regulatory Success) assets and unlock upper quartile ambitions. Within DAPS, the Discovery Integration Sciences team is driving efforts across Research to build the world’s most efficient and effective biopharma discovery platform at GSK by building and deploying innovative Lab-in-an-Automated-Loop (LIAL) Systems that integrate computational intelligence with physical laboratory experimentation in adaptive learning cycles. Each LIAL System will deliver a domain leading scientific discovery solution that leverages and extends state-of-the-art scientific methods by engineering technologies to create integrated discovery systems that empower GSK research scientists with the latest tools. LIAL Systems will therefore be physical instantiations of GSK’s mission to unite science, technology and talent to get ahead of disease together.
As a Scientific Leader in the Discovery Integration Sciences team you will work and lead across scientific and technical disciplines in cross-functional teams designing, delivering and operating the System-of-LIAL-Systems that will power GSK’s Research activities and the underlying LIAL Platform that provides the abstracted blueprint and technical services for building and operating LIAL Systems at scale.
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GSK is a global pharmaceutical and biotechnology company focused on developing medicines, vaccines, and consumer healthcare products. The company operates in over 150 countries with major therapeutic areas including respiratory, HIV, oncology, and immunology.
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Mid · 5+ years experience
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