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Work Week: Standard (M-F equal number of hours per day) Posting Position Title: Research Specialist University Job Title: Data Scientist Preferred Education, Experience and Skills: Ph. D. in a quantitative field like Economics, Physics, Statistics, Mathematics, Data Science, Engineering, Health Policy or related fields.
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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.
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The inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data Science, with a focus on creating and maintaining software packages, providing user support and training in coding and software package writing, and providing statistical analysis for research projects.
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Position Focus: Yale School of Public Health (YSPH) seeks a highly experienced Program Manager for its brand-new Public Health Data Science and Data Equity (DSDE) initiative which will create and support a range of cutting edge research, education, and outreach initiatives related to strengthening innovations in and applications of modern data science as it relates to public health.
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Responsibilities include but, are not limited to:· Work across functional areas to assess oncology reporting requirements, determine the optimal visualization strategies, and then collect, analyze and present quality improvement data for purposes of Institute-wide program evaluation, management/decision-making, clinical quality improvement, and regulatory compliance.
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Required Qualifications Qualifications must include an earned doctorate in Mathematics as well as the ability to teach a wide range of mathematics and/or statistics/data science classes at the undergraduate level in more than one area of specialty.
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Assist in the warranty claims process in the field by sending data and information to the Warranty team/Customer Service Department. We use our expertise in materials science to engineer and manufacture high-quality, sustainable residential and commercial building products that improve lives and businesses.
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The ability to teach hands on graduate courses in general areas of Data Science such as Artificial Intelligence, Deep Learning, Distributed & Scalable Data Engineering, Machine Learning, and Natural language Processing.
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Description Yale University’s Statistics and Data Science (S&DS) Department invites applications for three faculty positions to start at the Associate Professor with tenure level or Full Professor with tenure level to start in July 2024.
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Utilize data from Achievement First's interim assessments to drive instruction and intervention. Attend all professional development, team planning and data analysis meetings. Science Teachers' salaries range from $49,378-$75,149, based on experience.
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MS/PhD in Molecular Biology, Genomics, Computer Science, or Computational Biology. Experience and knowledge of data processing for NGS highly preferred. Data analysis focusing on signal extraction and signal processing.
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Leads the Master Data Teams for NYSEG, RG&E, CMP and UI ensuring the needs of Avangrid are fulfilled in a professional and timely manner. A Bachelor's Degree in Finance, Computer Science, Engineering or related discipline and 10 years professional-level experience in electric and gas utility construction/planning or business discipline with construction/project management is required.
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Advanced degree (Master's or PhD) in Computer Science, Data Science, Bioinformatics, Biostatistics, or a related field. Stay current with the latest research and advancements in machine learning, biotechnology, and data science.
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More broadly, the School also has research strengths in Statistics in the areas of Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Data Science, Nonparametric Statistics, Stochastic Analysis.
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Experience working with big data (engineering / processing) and data migration. Database Query Engine, Data Infrastructure, Data Pipelines, Data Platform, Database Security, Data Governance, Data Sharing, FoundationDB, Manageability, Metadata, Service Runtime, Snowhouse Foundation, Storage and ML Engineering.
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data science jobs in Branford, CT
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