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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Required Qualifications: A doctoral degree in psychology, neuropsychology, allied health professions, epidemiology, health services, data science or a closely related field A publication history in peer-reviewed journals with a focus on health services research, epidemiology and/or implementation science applied in rehabilitation populations Expertise in grant writing and submissions with a record of achievement obtaining NIH R, U or P grants.
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Bachelors Degree in Medical Technology, Biomedical Science, Biology or Chemistry required National Certification as a Medical Technologist required. Do you have the career opportunities as a Microbiology Manager you want with your current employer.
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Bachelors, Clinical Laboratory Science/Medical Laboratory Science/Biomedical Science/Biology/Biochemistry. through a Clinical Laboratory Improvement Amendments (CLIA) approved program (required.
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BASIC QUALIFICATIONS Bachelor’s degree from an accredited college or university Geographical Sciences, Computer Science, Urban Planning, Environmental Science, Geomatics, Civil Engineering or other related field.
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Presto, Hive, SparkSQL, Cassandra, or Solr other Big Data query and transformation experience a plus. A financial firm is looking for a Databricks Cloud Data Engineer to join their team in Richmond, VA or Remote.
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ORA Ph. D. or equivalent doctoral degree in a related field of study such as: Sociology, Business Management, Business Administration, Public Administration, Social Science, Environmental Science, Geosciences, Political Science, Law Enforcement, or other fields related to the petroleum industry.
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Experience with real-time data streaming platforms such as Kafka and Kinesis. We provide a unified view of Orders/Orders-adjacent data at Square, and power a variety of interfaces for our teams and third-party developers to access that data.
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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks. Enterprise data modeler provides expert support across the enterprise information framework, analyze and translate business needs into long-term solution data models by evaluating existing systems and working with a business and data architect to create conceptual data models , data flows.
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The Division of Population Health Data (DPHD) is responsible for analytic and outreach services within the Office of Family Health Services (OFHS), including epidemiological activities regarding the collection, monitoring, analysis, and interpretation of data, and program evaluation regarding programmatic data-informed decision-making and needs assessment activities.
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As a valued colleague on our team, you will, under limited supervision, conduct theoretical and empirical research with public and proprietary data in all areas of mortgage finance business, including mortgage products and securities, borrower behavior, investment and hedging strategies, residential property valuation, macroeconomic models including housing prices and interest rate, financial valuation of finance assets and derivatives, economic capital, and stress testing.
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Become Global Logistics SME of data in system such as: SAP, ACS, VFI, Maersk System, YMS, TMS, FTZ-QAD, and any system that would aid in the end-to-end Logistics operational and financial needs.
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Innovation is at the heart of everything we do at the Audit Analytics and Innovation Team. We're not a traditional Data Science team: we build creative Machine Learning solutions across multiple domains from LLM based chatbots, GenAI powered applications, to AML/Fraud solutions, Card statements anomaly detection, Customer call transcripts intelligence, etc.
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MA/MS from the field of social science or meteorology or a related field such as atmospheric science. Bachelor's degree from the field of Social Science, meteorology, or a related field such as atmospheric science.
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Lead Software Engineer, Full Stack (Enterprise Data) Enterprise Data is hiring a Lead Software Engineer! Work with Product, Data Ethics & Privacy Office (DEPO), Architecture, and other Tech Leaders to ensure all work is completed, tested, and deployed in a timely manner.
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data science jobs Title: program manager in Richmond, VA
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