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Of science into data products by acting as the voice of “Knowledgebase” and interoperability/value of asset. Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights.
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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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Bachelors degree (Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science) The Scientific Knowledge Engineering team, which sits within the Onyx Product Management organization, is responsible for the data modeling, ontology definition and management, vocabulary mapping, and other key metadata activities that ensure Onyx platforms and data assets speak scientific language.
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Bachelor’s degree (BS) in Bioinformatics, Biomedical Science, Biomedical Engineering, Molecular Biology, or Computer Science. As a Scientific Knowledge Engineer, you will work with Product Managers and R&D SME's using ontology to organize data models, using data, knowledge, and prediction to find new medicines.
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Familiarity with using Databricks or a similar platform for data engineering & data science. Bachelor's degree in a quantitative discipline: statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science; in lieu of a Bachelor's degree, candidates with 9+ years of equivalent experience will be considered.
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Leveraging more than 30 years of experience in life science informatics, we are uniquely positioned to deliver a portfolio of innovative BioPharma knowledge management technologies to streamline the capture, analysis, reporting and sharing of data required to accelerate the next generation of life-changing therapies.
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Exposure to Python, Data Science and Machine Learning methodologies desired. - Proven experience as a Data Architect, with a focus on blockchain and cryptocurrency applications.
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You have experience supporting and leading studies to generate high-impact real-world evidence from real-world data in the life science and pharmaceutical industry. This team provides customized real-world data and real-world evidence solutions to address the most important research questions across clinical development, market access, and commercial use cases for our life sciences partners.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Apply software engineering and machine learning skills to build data science & machine learning products to improve that provide automation and improve business and user experience. Utilizing machine learning techniques, design and build data science solutions and machine learning products — from platforms to systems for model training, versioning, deploying, storage, and testing models with creating real-time feedback loops to fully automated services.
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DE performing ETL operations, using Informatica Power Center and Metadata Manager; developing data masking solutions using Unix shell script; and creating functional and technical design mapping templates and solutions for data migrations using Workday I Loads.
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Manage regular renewal and acquisition activities of the Museum Membership program including mailings, fulfillment, and lapsed recapture, ensuring data integrity for up to and over 16,000 member households.
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We are seeking a highly skilled and experienced senior security manager to provide regionwide strategic and tactical security management for our commercial life science properties in the southeast, including North Carolina and Maryland.
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Normalize and represent test results using clinical data standards such as ICD-O-3, FHIR, mCode, LOINC, ICD-10, UMLS, SnoMED, RxNorm, etc. Experience curating and extracting data from databases, analyzing data, integrating terminologies for biomedical ontology development.
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We are currently searching for a Data Scientist to support efforts by the National Institute of Environmental Health Sciences (NIEHS) Office of Data Science to advance the application of scientific data towards improving public health by developing and applying systems and tools for capturing, organizing, analyzing, and visualizing biomedical research data.
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data science jobs Title: program manager in Durham, NC
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