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Requirements: Requires a Master’s in Statistics, Computer Science, Data Science, Machine Learning, Applied Math, Operations Research, Economics, or a related field plus two (2) years of experience as a Data Scientist, Data Engineer, or other occupation/position/job title involving research and data analysis.
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A Baccalaureate degree from an accredited college in Criminal Justice, Criminology, Sociology, Statistics, Mathematics, Computer Science, Operations Research or a closely related field; and one year of satisfactory full-time experience in the analysis and/or research of data related to crime, criminals, criminal intelligence, and/or other social sciences in a police, judicial, or other criminal justice setting; or 2.
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A Senior Research Scientist that specializes in organ transplantation and social behavioral science, chronic disease will work mostly with primary data collected through large multi-site studies and clinical trials in support of NIH and DoD funded research.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. Our data science track covers most of the below: Topics and content might change based on the market requirements.
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Minimum of 5 years of technical experience and 3 years of experience specifically in data science and machine learning. Experience with cloud computing platforms (, AWS, Azure, GCP) and cloud native computingProficiency in programming languages like Python, Java, Scala, C#, SQLExpertise in big data technologies such as Hadoop, Spark, Kafka, and NoSQL databasesKnowledge of data modeling, ETL processes, and data warehousing conceptsExceptional problem-solving abilities and teamwork skills.
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Research experience in statistics and computational genomics, and familiarity with next-generation sequencing data and analysis tools (preferred). Core Skills:A science-focused individual with a passion for advancing computational and/or domain specific research questionsSomeone with a strong quantitative background, great programming skills and a genuine interest in cancer research.
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Role DescriptionWe are currently seeking a talented and motivated senior Azure Data Engineer to join our Risk Technology Team. The role will be responsible for developing, deploying solutions for risk, regulatory, compliance projects on Azure platform and be at the forefront of on-prem to cloud migration initiative.
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2 years of experience understanding genetic mutations and their impact on the biological functionality of proteins, experience with genetic medicines including gene-therapy, gene-editing, cell therapy, mRNA and RNA silencing experience with pharmacokinetic, pharmacodynamics data and safety data.
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Collaborate with different teams in EDM (Data Cloud, Architecture, Data Governance Tech, Data Science) and support strategic initiatives such as data governance, data-as-a-service, and self-service analytics.
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The Singh lab (tjsinghlab.com) is looking for a motivated and creative postdoctoral research associate to lead method development and analysis in statistical human genetics, with a focus on brain disorders.
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Experimental chemical engineering and materials science research on heterogeneous and homogeneous catalysis and electrocatalysis, polymer circularity and upcycling, polymers for applications in chemical separations, water purification, resource recovery from waste streams, or electrochemical conversions.
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Ensure documented data requirements from client teams including the Marketing Intelligence & Science team to understand the measurement framework, the most critical metrics to implement for database build and business logic for data stitching.
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The Graduate Center’s commitment to research and scholarship for the public good is exemplified by its more than 30 centers, institutes, and initiatives, including its Advanced Science Research Center (ASRC), a 200,000 square-foot facility in upper Manhattan, designed to promote collaboration among scientists in five areas of global research and innovation: nanoscience, photonics, structural biology, neuroscience, and environmental sciences.
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Must include one year of experience in each of the following: (1) working with complex data structures and large datasets in a real business setting; (2) utilizing SAS, SQL, Excel, VBA, PPT, Tableau, Visio, MARS and CART software; (3) delivering oral and written data analytics presentations to clients, senior managers and executives; (4) big data processing, data extraction, and variable reduction; and (5) managing analytics projects with global resources.
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We are looking for a Senior Quantitative Developer that will be a part of a dynamic and fast-paced development team within Quantitative Research and Investment Technology supporting Fidelity Asset Management Solutions (FAMS) researchers and analysts.
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data science research and jobs Title: director senior in New York, NY
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