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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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Requires proficiency in SAS, R, or Python (preferred) for data wrangling, automation, and creating statistical and machine learning models. The Business Data Analyst, Senior will report to the Sr. Manager of Back Office Analytics.
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Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)Key Skills: Data Science, AI/ML, SQL, R, Python, C.
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Experience with cloud and modern data science tools and platforms such as Databricks MLFlow, GCP BigQuery, AWS SageMaker, Kubeflow, and Azure ML. Strong proficiency in Python, R, SQL, and experience with libraries/frameworks such as PyTorch, TensorFlow, and Scikit-learn.
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Extracts data using a variety of a programming languages, such as SQL, SAS, Python, or Spark/Scala, and applies knowledge of relational and non-relational database systems housed on both on-premise and off-premise (hybrid) platforms.
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The ideal applicant should have a strong programming background (e.g., Python, R, SQL, SAS, and/or STATA) and the drive and enthusiasm to learn about clinical care by assisting in state-of-the-art patient-centered research.
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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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We are hiring a Senior Statistical Analyst to leverage cutting-edge data science tools and methodologies on real-world clinical data for scientific research in precision medicine.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) The Clinical Data Analyst partners cross functionally to identify risk to data integrity throughout the data flow to drive quality collection for non-EDC data sources (fluid & tissue labs, digital, imaging, wearables) in Dyne’s clinical studies.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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A minimum of three (3) years of experience using R programming language (Python is a plus) Join us to expand your technical career through the lens of work on many novel projects and use cases to expand your proficiency in real-world health care data, statistical analysis, data science and AI skills on healthcare.
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Join a rapidly growing team of professionals working to build a world-class data science practice with a focus on solving real-world health challenge and reduce the health disparities. + Lead cohort meetings and workshops for data science awardees.
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If you're ready to make a significant impact and contribute to a world of healthier lives, we invite you to apply for this exciting Sr. Statistical Analyst role at the American Heart Association.
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Senior Statistical Analyst. You will also identify and analyze the real-world clinical data to address scientific questions, define data strategy, build statistical analysis methodology and plan, and help us building solutions and tools to help answer complex clinical research questions, with a focus on health disparities.
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Our work includes novel areas including machine learning/ AI, data visualization, and cloud technology. + Provides statistical analysis and reports including hypothesis testing, forecasting, and predictive analytics.
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data science predictive analyst python r jobs Company: Cvs Pharmacy
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