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Basic Qualifications: Data Center Engineer (T02): Bachelor of Science Degree in a STEM (Science, Technology, Engineering or Math) related field with 2 or more years of engineering experience or MS with 0 years or more year of engineering experience or Ph. D. with 0 or more years of engineering experience Active in scope DoD Top Secret Clearance Ability to obtain and maintain initial Special Program Access (SAP/PAR.
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As a member of the Clinical Data Science Leadership Team, the Executive Director, Data Science is accountable for Development's machine learning and artificial intelligence strategy, overseeing the expansion of the industry-leading Advanced Analytics organization to address the growing opportunity for value generation through the application of AI/ML, including large language models (LLMs), across Development.
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Our passionate, global workforce augments local expertise and diverse mix of skills with data, science, and technology to deliver bespoke engagement solutions that help clients reimagine how they engage with their patients, payers, people and providers to improve treatment outcomes.
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Acquires and maintains a level of medical-scientific knowledge in endocrinology and/or rare disease involving clinical issues related to company’s products; able to interpret and disseminate pertinent scientific/clinical data and evaluates current and new information as it applies to company’s therapies.
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The MSL function is knowledge-based, anchored in educating internal and external stakeholders in the science behind and safe and appropriate use of our products. Prior experience in providing MSL-level support to products or devices in endocrinology and/or rare disease, including KOL development, investigator-initiated clinical trials, publications and educational programs, highly preferred.
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Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics. 0 years of related experience with a Ph. D. in Data Analytics, Data Science, Statistics, Health Informatics, Biostatistics, Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics.
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Leverage data science frameworks like TensorFlow, PyTorch, and Spark ML to build robust and scalable machine learning solutions. Hands on experience working on data science frameworks such as TensorFlow, PyTorch, and Spark ML.
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Basic Qualifications for Principal Level: Bachelor’s degree or higher in Computer Science, Computer Engineering, Electrical Engineering or other STEM (Science, Technology, Engineering or Mathematics) discipline with 5 years of software engineering experience (3 years for MS degree, 0 years for PhD) US Citizenship is required The ability to obtain and maintain a DoD Secret clearance is required.
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Keywords: Data Engineer, Data Science Engineer, data engineering, SQL, Python, PySpark, big data, forecasting, operations, communication, collaboration, presentation, Oracle, Java, Azure, Purview, Snowflake, Qlik, Tableau.
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Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform.
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As a data science lead, you will be able to shape the approach around the end-to-end data science pipeline, including NLP, ML modeling, and GenAI techniques. 7+ years of hands-on data science experience.
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Managing ETL and data ingestion/storage pipelines via data warehouses, graph DBs, and vector databases (i.e. Snowflake, Amazon Neptune, Airflow) Building Retrieval Augmentation Generation (RAG) systems via chatbot interfaces for data retrieval and insight summarization.
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Developing a knowledge graph to discover connections in the data via graph search algorithms (BFS, DFS, community detection, etc.) In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI.
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Experience with citations software, for example Endnote, and software for data and image analysis and illustrations is needed. May be asked to interpret complex data sets. The Department of Pathology at Dana-Farber Cancer Institute is seeking an experienced M.D. or Ph. D. scientist with technical expertise in diagnostic assay development and/or research pathology, as well as research administration, scientific writing, and project management.
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Serves as a scientifically knowledgeable resource for the Departmental Administrator, participating in faculty communications, talent recruitment, and event planning within the Dana-Farber Pathology department and across partnering clinical departments in the Harvard Medical School system.
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data science jobs Company: Ukg in WA, Germany
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