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This role will be responsible for process support and optimization across hydrocarbon, ethanol, CO2, and solvent-less extraction, as well as optimization of biomass handling and post-processing methods.
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That Data Scientist provides analysis and develops and maintains software tools for clinical and scientific problems in the Bioinformatics and Computational Biology department. Performs data extraction, transformation, and loading(ETL) activities for relational datasets.
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Develop, deliver, and maintain data manipulation, extraction, and analysis scripts used for GMD Element analyses in the GMD Element Digital Model (EDM). Maintain and sustain interoperability with MDA’s analysis labs for the development of integrated GMD Element analysis products.
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Demonstrated experience and technical knowledge in molecular biology techniques such as RNA/DNA extraction, protein extraction and expression analysis from tissues and cell lines.
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At least 3 to 5 years molecular or genomic lab experience including DNA/RNA extraction, library preparation and NGS analysis. The Lead Genomic Scientist will support and train junior lab scientists to perform various molecular tasks including but not limited to nucleic acid extraction, PCR, library preparation, sequencing workflow executions and analysis.
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Contribute to all aspects of laboratory work (bench chemistry, instrumental analysis, data processing, and data reduction) related to the development, optimization, and validation of bioanalytical methods using appropriate analytical techniques (protein precipitation, liquid/liquid extraction, solid phase extraction) in combination with chromatography (GC, HPLC) instrumentation under GLP guidelines.
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Exceptional expertise in statistical analysis, predictive modeling techniques, and machine learning algorithms, enabling the extraction of actionable insights from HR data. Technical Skills: Proficiency in SQL, Python, R, or similar programming languages for data manipulation and analysis, as well as Power BI, and SharePoint.
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Leads the application of remote sensing/geospatial technologies to address natural resource applications including change detection, monitoring, extraction and classification of information from imagery using supervised/unsupervised image classification, data mining and feature extraction technologies, accuracy assessment procedures, and identifying and applying novel approaches to geospatial analysis and modeling.
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Molecular biology techniques: DNA/RNA extraction, gene expression analysis (PCR/RTPCR), western blotting, ELISA, Next Generation Sequencing. Experience in data analysis and visualization software such as Excel, GraphPad Prism and FlowJo.
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Viral DNA, RNA and protein extraction, purification, and analysis, including cloning, amplification and DNA sequencing. Analysis of viral growth by microscopy and enzyme assays. Viral DNA, RNA and protein extraction, purification, and analysis, including cloning, amplification and DNA sequencing.
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Knowledge of geospatial analysis software suites (GIS commercial software packages such as ArcGIS, ERDAS & SocetSet GXP, including common office software to include spreadsheets and word processing) used by NGA to accomplish its mission.
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Relevant experience in the following: Geospatial Analysis, Intelligence Community, geospatial data formats, ESRI ArcGIS10 and personal Geodatabases, intelligence fusion analysis, and NGA data products and standards.
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We are seeking a highly motivated scientist with extensive research experience in image analysis and feature extraction of H&E and/or immunohistochemistry (IHC) stains to join our Computational Tissue Imaging Research team in the Translational Bioinformatics group.
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Utilize Spark, Databricks, Tensorflow, and Python to handle data extraction, analysis, and model development. Strong understanding of statistical analysis, data mining, and predictive modeling.
$150,000 - $170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 29 days ago - UpvoteDownvoteShare Job
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Demonstrated knowledge of and experience in the field of aqueous radiochemistry including radionuclide separations (solvent extraction, column chromatography, precipitations), handling radioactive sources, and analysis by spectroscopic and radioanalytical methods.
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