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3-5 years of professional experience programming statistical analyses in SPSS, Stata, Python or R (Python and R highly preferred) Build scalable and reproducible work in Python or R including data ingestion, quality checks, cleaning, analysis, modeling, and output.
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Extensive experience using the following programming languages: Python, TypeScript/JavaScript, Kotlin, Rust, R, SQL, Shell. - Extensive experience with data exploration exemplified by use of the following: pandas, R, SQL. Raster, OpenCV, Pillow, GDAL, Convolution, Vector: geos.
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Our ideal candidate has significant experience conducting remote sensing and geospatial analytics in either Python, R, or PostGIS. Geospatial programming experience and familiarity with packages such as arcpy, GDAL, OGR, shapely, geopandas, sf, and terra for raster and vector analytics is a prerequisite.
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Bachelor's degree in a quantitative or technical field of study (e.g. Applied Mathematics-probability and statistics, formal modeling, computational social sciences, Computer Programming-programming languages, math/statistics packages, computer science, machine learning, scientific computing, and Visualization (e.g. GIS/geospatial analysis, telemetry analysis.
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Using data visualization tools (e.g., R, Tableau, Flare, Google Visualization Application Programming Interface [API], RGIS) to design charts and exhibit graphic representations for the purposes of providing actionable recommendations to critical leadership officials and stakeholders.
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Assist Principal Investigators and Scientists in retrieving and incorporating data from multiple sources using SAS, R, SQL, or other query tools. This includes database and statistical programming, programming for standard report generation, ad-hoc queries, analyses, data manipulation, extraction, and export.
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2+ years’ experience using programming languages such as SQL, R, Python, SAS, MATLAB, etc. 3+ years’ experience using programming languages such as SQL, R, Python, SAS, MATLAB, etc.
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Provide scientific research and programming support for cutting edge technology and training in the areas of bioinformatics and computational biology. - Daily Develop scientific applications using R, Shiny and/or Python.
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Create scripts using Python, R, SQL, Arcade, VisQL, M, Power Query, DAX, and common geographic information system (GIS) programming languages. Must have experience with: Python, R Studio, Microsoft Power BI.
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Experience with SharePoint content management and programming languages such as SQL, R, Python for Databricks in ADVANA. Utilize experience with Qlik Sense, SQL, and Databricks, and exhibit an eagerness to learn new technologies.
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Proficiency in an analytics programming language, such as R, Python, or SAS. Visualization skills with tools such Tableau, Power BI, or R Shiny. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and data wrangling, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Guide programming, model building and/or regression analysis in statistical analysis programs (such as Stata, SAS, R or Python); Experience in Stata, Python, R, SQL, SAS, Excel, ArcGIS/ArcPy.
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Minimum of five years of extensive experience in programming using statistical software such as SPSS, R, Winsteps, Stata, and SAS. Proficient in programming using SPSS, R and IRT software such as Winsteps.
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Simple programming experience writing scripts Perl or R programming languages. Two years of documented hands-on (wet lab) experience with NGS assay development, validation, troubleshooting, and reviewing of run QC data preferred.
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Knowledgeable of technologies such as Scala, Databricks, Python, Trifacta, Data Robot, Kafka, Stream Sets, and/or R programming language. Utilize Scala, Databricks, Python, Trifacta, Data Robot, and R to implement data processing and analysis tasks.
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r programming jobs in Washington, DC
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