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Stationed in our global offices, AAG team members hold advanced degrees in computer science, engineering, AI, data science, physics, statistics, mathematics, and other quantitative disciplines, with backgrounds in a variety of fields including tech, data science, marketing analytics and academia.
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GRT consists of five departments, the four disciplinary research departments are: Behavioral & Policy Sciences (BPS), Defense & Political Sciences (DPS), Engineering & Applied Sciences (EAS), and Economics, Sociology & Statistics (ESS), and GRT Operations department (GRTO) which includes research assistants, term, and adjunct staff.
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MPH, MS or PhD in epidemiology, biostatistics, applied statistics or related quantitative field. As a Senior Epidemiologist and Data Scientist in Epidemiology and Patient Data Products, you will be a core member of a team of epidemiologists, data scientists, and data engineers building a powerful computational platform for advancing the discovery and development of new medicines.
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Formal training in Biology, Computational Biology, Statistics, Machine Learning, or a related technical discipline. This includes data from genomics, proteomics, metabolomics, and other biological sources.
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Experience in authoring and critically reviewing technical documents, study protocols, and reports related computational biology and/or statistics. The Wyss Institute is seeking a computational scientist to join a multi-institute scientific program focused on the development of novel anesthetics.
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Basic knowledge of the following – Supervised and Unsupervised Learning including Classification Models, Cluster Analysis, Neural Networks, Non-parametric Methods, Multivariate Statistics, Reliability Models, Markov Models, Stochastic models, Bayesian Models as well as NLP (Natural Language Processing.
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Programming (Python, R), statistics, and data science skills are essential. Programming (Python, R), statistics, and data science skills are essential. SUN focuses on developing computational social science tools to address urban challenges, from climate change and inequality to health and economic development.
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An undergraduate background in physics, chemistry, materials science, engineering or statistics and a willingness to work in a cleanroom are key requirements. Microfabrication Engineering Co-Op The Microelectronics Laboratory is seeking students eager to apply their science and engineering skills in the US Government’s most capable wafer fabrication facility.
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Experience teaching statistics and statistical programming. Comprised of Tufts Medical Center, Lowell General Hospital, MelroseWakefield Hospital, Lawrence Memorial Hospital of Medford, Care at Home - an expansive home care network, and large integrated physician network.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Ph. D., or Masters + 3 years experience, or Bachelor’s + 6 years experience in a computational discipline (e.g. Computational Biology, Bioinformatics, Biostatistics, Bioengineering, Computer Science, Mathematics, Physics, Statistics.
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Assists the Head of School in his/her managerial duties including: Supervises maintenance of the building and grounds Coordinates purchases and delivery of supplies and equipment Supervises maintenance of personnel and student records Prepares reports and statistics of school operations Prepares and maintains the master schedule within planning parameters established by Head of School Implements the attendance policy Serves as liaison between the school and the transportation providers.
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Demonstrated Expertise ("DE") designing, creating, analyzing, and validating quantitative equity investment strategies (alpha and risk models), using advanced statistical, mathematical, and machine learning techniquesmultivariate regression, non-parametric statistics, Bayesian statistics, time series analysis, principal component analysis (PCA), and random forests.
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To manipulate data and draw insights from large data sets A drive to learn and master new technologies and techniques Bachelor’s degree in Computer Science, Statistics, Informatics, Information Systems, or another quantitative field or commensurate experience Benefits: BlueWave provides employees with a robust benefits package, including unlimited paid time off, dedicated volunteer days, cell phone reimbursement, summer Fridays and 13 paid holidays.
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Additional graduate training in public health, epidemiology, or statistics is preferred. Maintain accountability for case series analysis of adverse events performed by global safety medical directors and pharmacovigilance scientists as well as disposition of passive surveillance data mining alerts and safety issues from other sources.
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statistics job Company: Sanofi in Medford, MA
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