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Education Preferred: Master's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Our team is dedicated to identifying and interpreting genetic signal at the scale of thousands of phenotypes and millions of individuals, making the knowledge gleaned from genetics accessible to AbbVie's R&D community, and using data science and machine learning to maximize the value genetics brings to AbbVie.
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Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of the new initiative in Therapeutics Data Science and part of our ambitious Institute for Data Science in Oncology at MD Anderson.
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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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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customer’s unique experience and delivering results through our omnichannel business model.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. Cognite is a global industrial SaaS company that was established with one clear vision: to rapidly empower industrial companies with contextualized, trustworthy, and accessible data to help drive the full-scale digital transformation of asset-heavy industries around the world.
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Hands on experience architecting and delivering solutions using the Azure Data Analytics platform and solutions including but not limited to Azure Databricks, Azure Cosmos DB, Azure Data Factory, Azure Logic Apps, Azure Functions, Azure Storage, Azure SQL Data Warehouse, Azure Data Lake, Azure Search, and Snowflake.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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The primary role of the Medical Science Liaison (MSL) is to engage in meaningful peer-to-peer scientific dialogue with healthcare system leaders such as Regional Thought Leaders (RTLs), National Thought Leaders, and Healthcare Professional (HCPs) within a defined geography to translate science into patient care.
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He/she uses knowledge of molecular biology and computer science to manipulate and process complex data sets. Data management involves capturing information pertaining to biological and cellular activities captured using molecular biology methods, which may include microarray and next-generation sequencing.
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5+ years of experience in data science with a strong focus on AI and machine learning implementations or PhD in data science with relevant experience. Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or related fields.
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Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide.
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Bachelor's degree in Animal Science, Food Science or Biological Science from four-year college or university. Demonstrate the ability to define problems, collect data, establish facts, and draw valid conclusions.
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Bachelor of Science degree in MIS, CS, CIS, Electrical Engineering, Telecommunications, Computer Engineering or related technical degree. This position will include project related tasks, mobile application development, big data and analytics, ERP systems and/or midstream commercial systems.
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Tool Expertise - Python, R, SQL, SAS Good To Have Experience in working on Big data, Cloud, Hadoop, Spark, End to end deployment. we are looking for a Senior Data Scientist to help drive actionable insights using artificial intelligence and machine learning algorithms.
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