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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization.
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Degree should be in Immunology, Virology Molecular Biology, Microbiology, Cell Biology or applied science field based on the specific requirements of the job function. Support or co-lead with senior staff the development of immune models and immune assays and automation to enable increase assay’s precision and consistency across the value chain and efficiencies in preclinical testing to provide data faster for critical decisions.
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Philanthropy raised through The Dana-Farber Campaign will accelerate the Institute’s strategic priorities by supporting revolutionary science, extraordinary care, exceptional expertise, and essential opportunities—helping us prevent, treat, and Defy Cancer.
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Data Science, Biochemical engineer, Chemical engineer, Biochemistry or Biology background. Follow Good Documentation Practices and Data Integrity requirements to ensure data, documentation, and records are completed and maintained for use by the business and available to support audits or inspections.
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Implementing and evolving our educational approach, which is rooted in social-emotional learning, STEAM (science, technology, engineering, art, and mathematics) curriculum, and nature-based learning.
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At AstraZeneca we are dedicated to being a Great Place to Work and creating an environment where you are empowered to help push the boundaries of science and unleash your entrepreneurial spirit.
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Medical Science Liaisons (MSLs) are the field-based extension of our Medical Affairs team. With its proprietary FORCE™ platform, Dyne is developing modern oligonucleotide therapeutics that are designed to overcome limitations in delivery to muscle tissue.
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Knowledge, coursework and/or hands-on experience in process data analytics (multivariate, time series and/or signal processing through statistical/machine learning methods). Develop, characterize, and test an integrated and automated cell culture process platform and associated process strategies through the integration of sensing technology, data analytics and automation.
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Masters or Ph. D. with experience in Machine Learning/Statistics/Data Science. You will work with Product Managers, Business Analysts, Data Analysts, User Experience Designers, ML Engineers, and Senior Executives to gather requirements and apply data science methodologies to solve complex business problems.
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You'll cultivate an awareness of the interconnected nature of fields of science (e.g., ecosystems, climate change, and lunar phases) and our local and global community. Uncommon Middle School Science teachers work in grade-level teams to prepare all students with the tools and knowledge to critically engage in the field of science.
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Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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The Executive Director of the U.S. MSL team will be responsible for leading a team of U.S.-based MSLs that will facilitate enrollment in company sponsored studies, engage with clinical study sites, study personnel, KOLs, and other health care providers with scientific exchange and clinical support for investigational products.
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Job Description: We're seeking a proactive and highly skilled Data Analyst with a background in Computer Science, Data Engineering, or a related field, coupled with expertise in Google Cloud Platform (GCP) and Amazon Web Services (AWS.
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This is a unique opportunity to shape and evolve the foundational quality systems at an early stage and rapidly growing biotechnology company with a highly people- and patient-centric, science-driven culture.
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data science jobs Title: diego Company: Feed in Wellesley, MA
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