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Conduct computational analysis of genomics and immunogenomics data from high-throughput profiling technologies (bulk and single cell), such as single-cell DNA/RNA/TCR/BCR/ATAC-seq and spatial transcriptomics & proteomics platforms, and perform high-dimensional, multi-modal data integration.
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Develop computational methods for integrative analysis of single cell and spatial multi-omics data. Participate in the design of computational experiments, data analysis and results interpretation.
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Minimum Experience: Three (3) years of enterprise experience as a data scientist, informaticist, statistician, senior analyst, or related role. Collaborates with the Data Linkage Scientist and other team members to improve Master Person Index (MPI), Master Provider Registry (MPR), and other link index match rates.
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As a numerical scientist within the Subsurface Technology Center of Excellence (COE) you will be expected to engage with a broad set of disciplines – Geophysics, Petrophysics, Reservoir Engineering, Geology, Statistics & High-Performance Computing.
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Ayata is looking for Senior Data Scientist who will develop AI techniques for business applications in various industries and build cloud-based AI software for predictive analytics business solutions.
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Assist Clinical Scientist, Study Responsible Scientist (SRS), &/or Study Responsible Physician (SRP) in various clinical research assigned Immunology Development clinical trials. Assist with clinical study activities such as study start up, investigator meetings, data review, etc.
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Work with data scientist to provide geological and well inputs toward machine learning model and AFE evaluation. Work with reservoir tech to keep well status and Aries data synchronized with GIS layer.
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The primary purpose of the Associate Data Scientist position is to provide bioinformatics analysis of next generation sequencing (NGS) data for faculty across the institution, to process NGS data for Advanced Technology Genomics Core facility, to perform quality control (QC) analysis and to maintain QC metrics and sample records of NGS experiments on the servers, and to meet with faculty to review data analysis results.
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Job Purpose: In this role, the Data Scientist should be highly analytical with a knack for analysis, math, and statistics. · Experience in data mining · Demonstrated initiative and problem-solving skills Special Skills: · Expert in MS Visio or similar diagramming tools · Experience with the Agile/Scrum framework is a plus.
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As a Data Scientist specializing in Data Engineering, you will help devise and implement data systems that keep NSA at the cutting edge of intelligence gathering and reporting, with all the high-functioning supporting processes that it requires.
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We are looking for an experienced, commercially-savvy data scientist/computational engineer to build models that aid our goal of decarbonizing heavy industry. #Senior #Computational #Engineer #Data #Scientist.
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Research latest machine learning technologies and keep up with industry best practices in Data Science. Collaborate with data science peers to identify model enhancement opportunities. Source interesting data (query 1st party data, purchase licensed data and/or scrape public sources.
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Strategic Staffing Solutions is looking for a Data Scientist in Houston, TX.We are currently seeking a forward-thinking Data Scientist to join our team. Strong foundation (3-5 years of experience) in data science, data analysis, modeling, and programming, with proficiency in Python and data visualization tools like Power BI. Demonstrated expertise in developing, scaling, and implementing Generative AI models.
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The Senior Health Care Data Scientist is a subject matter expert who applies data science and their knowledge of health care data to develop solutions that improve health care.
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Having experience with productizing machine learning models within a cloud service (e.g., AWS, Azure, GCP) and data science environments (e.g., Databricks) is a plus. You have 2-5 years of successful technical experience in the domain of predictive analytics (e.g. data science, machine learning, data mining, and statistics related work); preferably in the Oil & Gas industry.
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