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PHD candidates in Engineering/ IT/Computer Engineering/Computer Science/Bioinformatics or related discipline with relevant with a minimum of 1 years of experience in software development and pipeline automation in the pharmaceutical and/or biotech industry.
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In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.
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We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward:Building a next-generation data experience for GSK’s scientists, engineers, and decision-makers, increasing productivity, and reducing time spent on “data mechanics.
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PhD. in Molecular Biology, Biochemistry, Virology, Immunology or a related field, with a strong background in protein science or biotechnology. Stay abreast of the latest scientific advances in life science, proteomics and drug delivery and apply cutting-edge techniques and methodologies in your research.
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Center 1 (19052), United States of America, McLean, VirginiaCurrent Master's - Data Science Internship - Summer 2025Key Role DetailsThis is a full-time paid internship program spanning ten weeks from June through August 2025.
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Experience with general programming and data analysis tools/languages such as Python, R, Spotfire would be particularly desirable. Stay informed with emerging literature and science in the systems biology/pharmacology modeling and simulation sciences.
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Working collaboratively with our early clinical, drug discovery, and data science groups, you will be responsible for leading a team and tasked with the design & execution of translational studies to identify intrinsic and acquired resistance mechanisms in preclinical experiments and from clinical samples.
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Data storage, database infrastructure, and data engineering) to maintain efficient and secure management of data assets as well as application hosting. Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Requirements:Ph. D. in Computer Science, Bioinformatics, Computational Biology, Statistics, or a related quantitative discipline with at least 3 years experience working on real-world data.
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Applicants should hold an advanced degree in Architecture, Design, Art/Media Studies, Computer Science, Data Science, or a related discipline, or have equivalent professional experience in a field related to design and/or computation by the start of employment.
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Bachelors/Advanced degree preferably in life science, nursing, pharmacy, or other healthcare related profession (MD, RN, PharmD, NP, PhD, MPH, etc. Experience with safety databases (ARGUS, ARISg, or other safety database applications), electronic data capture (EDC) systems, and electronic document management systems.
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OR Master's degree in clinical laboratory science, medical technology or chemical, physical or biological science and 1 year training and experience in high-complexity testing; OR Doctoral degree in clinical laboratory science or chemical, physical or biological science with 1 year training and experience in high-complexity testing.
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5+ years industry experience using computational biology to discover biological insights from molecular data in immunology or an immunology-related field is required. Strong technical expertise analyzing cellular genomics data including single cell sequencing and spatial ‘omics data types is required.
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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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Using new technologies, cutting-edge science, and strong internal and external partnerships, we are leveraging our expertise in antibody discovery, protein and cell engineering, and biochemistry to transform the field of neuroscience.
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engineering data science jobs Company: Amazon in Cambridge, MD, Nebraska
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