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You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
$114,375 - $190,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required Skills : •3-5+ years in Python •Proficient understanding of distributed computing principles and Resilient Distributed Dataset •3+ years of Agile Scrum and Scrum Kanban experience •Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala •Experience with NoSQL databases, such as MongoDB, HBase, Cassandra •Experience with Big Data frameworks such as Hadoop, Apache Spark, Apache Beam.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Duties include managing complex projects from start to finish, collaborating with the HR Data Manager to promote data governance and enhance data quality and insights, and providing HR Reporting and Analytics to key stakeholders, including HR Business teams, Talent, Reward, Payroll, and Finance.
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Hands-on experience developing DataOps and ETL solutions using AWS data services (e.g., Redshift, RDS, Athena, Lake Formation), Cloudera Data Platform, and Tableau Labs. Ensure accessibility of data products with appropriate security controls across all computational platforms (e.g., Domino, R-Shiny, Tableau, and SuperPOD), fostering a secure and interconnected ecosystem.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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Experience in designing and implementing big data solutions using cloud native solutions with experience in event-based architecture and data lineage tools. Understanding of data science concepts, as well as MDM (Master Data Management), CDP (Customer Data Platform), BI (Business Intelligence), DWH (Data Warehouse) design and implementation techniques.
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Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers.
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The Center for Vision Technologies (CVT) develops and applies its algorithms and hardware to be able to see better with computational sensing, understand the scene using 2D/3D reasoning, understand and interact with humans using interactive intelligent systems, support teamwork through collaborative autonomy, mine big data with multi-modal data analytics and continuously learn through machine learning.
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This position reports to Head of Biostatistics and Data Management (BDM) within Research and Development (R&D) Department at SPARC. Main responsibilities will include effective leadership, planning and oversight within the Clinical Data Management (CDM) function as well as facilitating collaboration across all R&D functions to ensure rigorous collection and analysis of data.
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Advanced knowledge of and expertise in database administrations; advanced training in Altru /Blackbaud’s Raiser’s Edge and demonstrated proficiency in database configuration, query writing, exporting, importing, merging, and data management.
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Co-own with relevant stakeholders the site HSE continuous improvement plan considering Firmenich HSE global Strategy, HSE global management Principles & Codes, Data, new business requirements, new/updated regulations and employees’ input and by providing data analysis, trending, and recommendations and providing technical and administrative direction on HSE matters at the site.
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Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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Role: Sr Data Scientist– NLP, LLM and GenAI. ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics.
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big data jobs Title: scientist Company: Brainstation in Princeton Junction, NJ
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