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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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The postdoctoral researcher will play a leading role in this research, working closely with Professor Davies and other lab members, and be expected to originate project ideas and use existing data to perform a wide variety of studies.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Building and maintaining data pipelines for the development, implementation, execution, validation, monitoring, and improvement of data science solutions. Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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This involves the development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client's facility.
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Our group is highly interdisciplinary and includes scientific experts in physiology, cognitive science, neuroscience, psychology, biomechanics, computer science, engineering, and physics.
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Strong understanding of scientific sampling methodologies and the state-of-science on a broad range of terrestrial, wildlife, soil, and water quality issues. Ph. D. in Water Resources, Environmental Science, Ecology, Environmental Engineering, or another related field.
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Experience of working under own initiative and in planning and prioritizing workloads University or technical college degree or equivalent qualification in relevant sciences such as: Medicine, Pharmacy, Chemistry, Biochemistry, Biology, Microbiology, Biotechnology, Health Technology, Toxicology, Physics, Biophysics, Material Science Biomedical Engineering, Mechanical, Electrical or Electronic Engineering, Computer & Software Technology, Human Physiology, Nursing, Quality Management.
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Experience with data modeling, machine learning algorithms, optimization, and data science techniques e.g. decision trees, SVM, neural networks, time series, forecasting, classification, regression, clustering, cross-validation, and model evaluation.
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We are defining the landscape of cancer vulnerabilities by integrating CRISPR screens with the molecular features of the cell lines and using novel data science approaches. The position includes data analysis, scientific interpretation, and experimental assay development.
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Skills: proficient in operating personal computers and applicable word processing, spreadsheet, and statistical analysis applications, specifically MS Excel or other data analysis and visualization tools, such as R, Python, or Tableau; excellent written and oral communication, facilitation, and public speaking skills; excellent data analysis, database development and management, strategic thinking, problem solving, leadership and project management skills.
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Valid driver's license and clean motor vehicle recordLearn to identify trees and shrubs common to the regionDegree in Arboriculture, Forestry, Horticulture, Turfgrass, Environmental Science, Plant Science, Outdoor Recreation, Agriculture or a related field OR prior experience working in landscaping or horticulture is preferred but not requiredThe F. A. Bartlett Tree Expert Company is an Equal Opportunity and E-Verify Employer.
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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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Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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Maintain a CRM database (Salesforce) via updates to sales opportunities and sales stages MINIMUM QUALIFICATIONS: Bachelor's degree in a science or technical field or a similar experience required (Biology, Biochemistry, Genetics, Molecular Biology) Experience in gene therapy market (in particular, plasmid DNA and Viral Vector segments) is strongly preferred 2-4 years of successful sales experience with a technical life science product is strongly preferred.
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data science jobs Title: project manager Company: Accenture Contractor Jobs in Lexington, MA
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