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Manipulates and extracts Medicare, Medicaid, and other healthcare claims data stored in Cloud environment using appropriate software such as SAS, Snowflake, Python, R, SQL, and other software as appropriate for the task.
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Experience with at least one Data Integration tool on the level of Dell Boomi, DataStage, or Informatica. OBIEE, OAC, Tableau, R, Python or other reporting, visualization, and analytics tool experience.
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Location:Tysons, VA (Hybrid) with some remote work·Work Authorization:EAD, Green Card or ·Work Type:Full Time Responsibilities include, but are not limited to: Gathering and cleaning HR data from various sources, such as HRIS, ATS, surveys, and external benchmarksPerforming descriptive, inferential, and predictive analysis using statistical methods and tools, such as Excel, SQL, R, Python, Power BI, Tableau, etc.
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Expertise in forest growth modeling related to lidar data and remote sensing technologies as well as their respective data acquisition techniques. Demonstrated skills in FPS and/or FVS as well as experience in MS Access, SQL, PostgreSQL, Linux, Python, and/or R programming that supports forest projections and merchandising.
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Experience manipulating data using scripting languages and/or data processing software (e.g. Python, R, Pipeline Pilot, ETL applications) Implement and utilize data solutions for data analysis and profiling using a variety of tools such as SQL, Postman, R, or Python and following the team's established processes and methodologies.
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Proficient in drug development regulations pertinent to statistical analysis and in the andOncology/Neuroscience therapeutic spaceProficient SAS & R programming skillsAn understanding of CDISC SDTM and ADAM models and standards is preferred.
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Proficiency with statistical software packages including: SAS, SPSS Modeler, R, WEKA, or equivalent. Experience with programming languages: R, SQL. Experience with big data technologies (e.g., Hadoop, HIVE, HDFS, HBase, MapReduce, Spark, Kafka, Sqoop.
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Job Description As a Compensation Analyst, you will be responsible for evaluating and analyzing salary data, job descriptions, and market trends to develop and administer competitive compensation and benefits programs.
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Data mining/programming tools (e.g. SAS, SQL, R, Python) Remote Lead Data Engineer needs 7+ years experience as data engineer in consumer finance or equivalent industry (consumer loans, collections, servicing, optional product, and insurance sales.
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Candidates must be proficient in GIS and R or Python, with quantitative skills in remote sensing and/or experience working with large climatic data sets preferred. Proficiency in GIS, R and experience with occupancy, mark/recapture, connectivity;Climate adaptation: Experience with integration of climate and remotely sensed data for conservation and decision making.
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Experience using analytics / BI packages (e.g., SAS, R, SQL, Cognos, Business Objects) to build client analysis solutions. The team independently maintains the HEDIS/QARR data repository that informs reporting of HEDIS, QARR, and PCMH data to NYS DOH and CMS. To that end, the team carries the responsibility of ensuring the monthly rates and annual HEDIS and QARR submissions are timely, and quality checked for accuracy and completion.
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JOB TITLE: Health Data AnalystREPORTS TO: Director, Data ScienceLOCATION: Washington, DC (Hybrid; in office 2-3 days/week, remote 2-3 days/week)DEPARTMENT: IT – Digital Products and Technology Special Olympics International (SOI) is an NGO providing sports training and competition to more than 5 million people with intellectual and development disabilities (IDD) in over 170 countries.
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This is a full-time Image Data Engineer position in Cleveland, OH, with potential flexibility for remote work. You must be familiar with image processing, machine vision, and data engineering, and even better if you are interested in 3D rendering, deep learning, and computer graphics.
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The role involves developing and implementing image processing pipelines for multiview, multiscale image data. Finally, we will build our data processing infrastructure on the could, so your experience with cloud services (e.g., AWS, Azure, etc.
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It is a hybrid of R&D and product development. You will design and build scalable cloud infrastructures to process, transfer, store, and manage these data. More specifically, you will work with data generated from our hardware.
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remote data r jobs in Kekaha, Hawaii
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