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We are particularly interested in individuals who bring expertise in topics including data interoperability, data harmonization, data standardization, ontology development, causal inference, pharmacoepidemiology, population and personalized health, precision oncology, open science, Bayesian methods, biostatistics, or related fields.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Knowledge of best practices in software engineering for reproducibility and data management skillsAbility to work in and adapt to a fast-paced environment Preferred Qualifications: Experience with protein co-evolution analysisExperience with NGS and bioinformatics toolsExperience with agile methodologies.
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Will play a critical role for a large NIH UM1 center aimed at mapping the human and non-human primate brain atlases using a state-of-the-art technology pipeline consisting of tissue processing methods, molecular probe labeling, volumetric optical imaging, and novel computations 3D image data processing and analysis; undertake engineering design, development, and testing of image processing algorithms and quality control in support of new specialized research instruments.
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Radar Receiver Exciter integration and test engineers are the liaisons between many Radar system components and are responsible for Radar Receiver Exciter data analysis and calibration, integration of hardware with firmware and software, and resolving system level issues that may stem from software or hardware anomalies.
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This is a postdoctoral position with the scientific goals being the development, implementation, and evaluation of statistical methods for causal inference based on electronic health records (EHR) data.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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This role will lead the digital transformation of operational and foundational data architecture roadmaps to build highly available, scalable, and distributed data platforms using open source frameworks to process high volume, high velocity, and wide variety of structured and unstructured data.
$156,240 - $190,960 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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OverviewThe Tufts University School of Medicine’s Graduate Programs’ Department confers the Doctorate in Physical Therapy (DPT), Master of Public Health (MPH), Master of Medical Science (MMS) by the Physician Assistant Program, Master of Science in Health Informatics and Analytics (MS-HIA), and Master of Science in Biomedical Sciences (MBS.
Starting at $26.4 - $31.4Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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The Postdoctoral candidate should have a Ph. D. degree in chemistry, materials science, chemical engineering, mechanical engineering, or a related field. Ph. D. with 0-3 years of academic or industrial experience in chemistry, materials science, chemical engineering, mechanical engineering, or a related field.
Full-timeExpandApply NowActive JobUpdated 22 days ago - UpvoteDownvoteShare Job
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Advanced experience working with data quality, profiling, analysis, and reporting tools such as Excel, Alteryx, Tableau, Looker, R, Python, SAS/SPSS/Stata, Business Objects, Qlikview, Qualtrics, or similar.
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OR Master's degree in clinical laboratory science, medical technology or chemical, physical or biological science and 1 year training and experience in high-complexity testing; OR Doctoral degree in clinical laboratory science or chemical, physical or biological science with 1 year training and experience in high-complexity testing.
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Provide analysis of data exhibits for academic journal articles. Collect, clean, synthesize, and analyze data. Demonstrated statistical/programming experience and/or applied experience with STATA required, and R is required.
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The Chief Scientist should have experience across the important technologies in the sensor technology space, including signal processing, RF and EO/IR hardware, machine learning/artificial intelligence, system integration, field testing, data collection, missions and CONOPs, open architectures and software development, along with a proven track record of delivering quality results to customers in the Department of Defense (DoD) and Intelligence Communities (IC.
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Ensure the timely and efficient delivery of all biomarker operational aspects across vaccine clinical trials: accountable for planning, coordinating, and overseeing all operational activities required to manage the flow of biomarker samples from planning, collection, analysis, data delivery and final sample disposition with support from the Biosample Operations Manager.
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Requires a Bachelor's degree from an accredited university or college in Medial Technology or Clinical Laboratory Science which includes successful completion of a supervised course of clinical internship in an approved hospital laboratory, or a Bachelor's degree in an applied science (for example Chemistry, Biology or Biochemistry.
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data science jobs Title: data science lead in Cambridge, MA
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