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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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The ideal candidate will have a background in epidemiology, computer science, bioinformatics, or related disciplines, with practical demonstrated experience in processing next-generation sequencing (NGS) data.
$54,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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A Baccalaureate degree from an accredited college in Criminal Justice, Criminology, Sociology, Statistics, Mathematics, Computer Science, Operations Research or a closely related field; and one year of satisfactory full-time experience in the analysis and/or research of data related to crime, criminals, criminal intelligence, and/or other social sciences in a police, judicial, or other criminal justice setting; or 2.
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We are seeking a Bioinformatics Analyst II to join the Seibold Lab team, with a background in bioinformatics, computer science, computational biology, biostatistics, or statistical genetics to join our team.
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Bachelor's degree from an accredited college or university in Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Cybersecurity and five (5) years of progressive information security experience across various information security/information technology risk management domains such as but not limited to application security, infrastructure security, identity, and access management, vulnerability and cyber threat management, security architecture, etc.
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A degree(s) in information technology, computer science or relevant field may be substituted per LCRA guidelines for certain years of experience. Provides business continuity/disaster recovery and risk analysis expertise.
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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine. A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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If you're ready to make a significant impact and contribute to a world of healthier lives, we invite you to apply for this exciting Sr. Statistical Analyst role at the American Heart Association.
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Senior Statistical Analyst. Join us to expand your technical career through the lens of work on many novel projects and use cases to expand your proficiency in real-world health care data, statistical analysis, data science and AI skills on healthcare.
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Applicants must be PA certified in PK-12 Technology Education, Business, Computer & Information Technology or PK-12 Computer Science. Experience or familiarity with tools such as but not limited to 3D printing, scratch coding, application development, robotics, laser engraver, CNC router and 3D milling a plus.
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Join a rapidly growing team of professionals working to build a world-class data science practice with a focus on solving real-world health challenge and reduce the health disparities. + Lead cohort meetings and workshops for data science awardees.
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Strong computer skills and ability to use necessary databases and software. Science & Research. A minimum of three (3) years of experience using R programming language (Python is a plus.
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As a mark of our commitment to employee well-being, we also offer an employee assistance program, employee wellness program and telemedicine, and medical consultation. You will also identify and analyze the real-world clinical data to address scientific questions, define data strategy, build statistical analysis methodology and plan, and help us building solutions and tools to help answer complex clinical research questions, with a focus on health disparities.
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The employer will alternatively accept a Bachelor's degree in Applied Computer Science, Computer Science, Computer Engineering, or related field of study plus 5 years of experience in the job offered or as Software Engineer, Programmer Analyst, Developer, IT Associate/Consultant or related occupation.
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Bachelor’s Degree in a quantitative field of study, such as mathematics, computer science, physical sciences is required. The role brings an exciting opportunity to work with other members of the Corporate Catastrophe Solutions team within ERM, as well as senior stakeholders from the business including Underwriting, Actuarial, and Ceded Re. 1-3 years of relevant work experience in Catastrophe Modeling, preferably in Commercial Lines with a focus on portfolio modeling.
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business computer science analyst jobs Title: intelligence Company: Coserv Gas Ltd
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