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Utilize databases such as Oracle, DB2 UDB, Sybase, SQL Server, and Teradata for data management tasks. Utilize heavy ETL tools and technologies, including but not limited to DataStage, Hadoop, Informatica, Synapse, Talend, Erwin, Pentaho, and SAS in high-volume Data Warehouse/Data Mart environments.
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We are in search of a passionate Data Scientist to support Sapients biomarker discovery service offerings and R&D effort with insights gained from analyzing clinical and multi-omics data.
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We are looking to hire a Data Scientist to join our RVO Health data science team. Create innovative data science solutions to create value for consumers and business by advancing technology ideas into proofs of concept.
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Job Title: Data Scientist (Computational Scientist) computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery.
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CLA, one of the nation’s largest public accounting and professional services firm, is currently seeking a Data Scientist Intern for our Triad (Winston-Salem), NC office. The Data Scientist Intern thrives when constructing complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages.
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The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
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CGI is seeking a Sr. Data Scientist to join our Emerging Technology Practice. Senior Data Scientist. Data warehouses and file stores such as Snowflake, RedShift, Teradata, BigQuery, Amazon S3, Amazon RDS, Azure Synapse, Databricks Lakehouse, etc.
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A leader in within the US Biotechnology space are in search of a highly motivated Principle Scientist to join our NGS Department. This Principle Scientist will collaborate closely with various research groups, scientists, and upper management to pioneer world-class Next Generation Sequencing technologies catering to RNA, DNA, epigenetics, and microbiome analyses.
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EBG has an opening for a talented and experienced Data Scientist to join our dynamic team. Proven experience (5 years) as a Data Scientist or similar role in a fast-paced environment.
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AI is seeking a highly skilled and experienced Distinguished Data Scientist directly reporting to Director of Data Science. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Publications or active peer reviewer in related journals or conference, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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As a Data Scientist at Motiva, your primary responsibility will be to design and execute advanced AI and machine learning solutions. Develop robust, scalable data processing and machine learning pipelines across Databricks, AWS, and Azure.
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To join our team in Washington, DC. In this role you will work across our client engagements, providing expertise in machine learning algorithms, natural language processing (NLP), data collection, data analysis, data mapping, data profiling, data mining, data modeling, and data visualization.
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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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Significant experience as a Data Scientist or advanced analytical role. Expertise in Python, R, SQL, statistics, data mining. In this role, you will conduct sophisticated data analytics, data mining, exploratory analysis, predictive analysis, and statistical analysis.
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United Network for Organ Sharing (UNOS) is seeking an Associate Data Scientist with a passion for developing data driven products to advance the field of Transplantation. Collaborate with software development, DevOps, and Data Engineering teams for model training and deployment.
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