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1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked Minimum Education Bachelor Additional Qualifications: Field of Study Biology Computer Science Statistics and Decision Science Software R Python Linux Shiny HTML Skills Scientific Data analysis Data visualization Data processing Data integration Machine learning Apply now.
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Experience in building statistical models using R, Python, STATA, or a related software. The FBA team is looking for a Senior Economist with strong machine learning, causal inference, and econometrics skills to join our cross-domain group of economists, applied scientists, research scientists, and data scientists.
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You'll code with machine learning tools like Python, R, and Scala to synthesize millions of data sets into patterns that answer ad hoc requests and then use Tableau for data visualization.
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Computationalgenetics/genomics, including skills in clinical informatics, genomic datascience, multi-omic analyses, biostatistical methods and analysis, machinelearning, artificial intelligence, reproducible pipelines, high performancecloud computing, Python, R, and/or other computational language coding.
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Experience in computational analysis of next-generation sequencing data, including the use of scripts, the Python and R programming languages. Experience in computational analysis of next-generation sequencing data, including the use of scripts, the Python and R programming languages.
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Experience in data access tools, such as SAS, SQL, Python, and R. Knowledge of CMS claims data, including Medicare, Medicaid, and Marketplace, in the IDR or CCW environment with Fee-for-Service ( FFS ) , Medicare Advantage encounter data, Medicaid data in the Transformed Medicaid Statistical Information System ( T-MSIS ) , or Prescription Drug Event ( PDE ) data.
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Proficient in analytical tools and software (e.g., R, Python, SQL, Tableau, SAS). Partner with the Business Intelligence Manager to design and implement robust data analytics systems and predictive models that support strategic initiatives and business growth.
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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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Examples of specialized experience include advanced experience conducting operational research and analysis as related to supply chain issues; mastery of statistical analysis, data mining, probability theory, mathematical modeling, or other quantitative methods in order to analyze information and solve supply chain problems; proficiency in using programming languages and data analytic tools such as Python, R, SQL, etc.
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You have hands on experience with data visualization and reporting tools such as Tableau, R Shiny, and/or Looker. You have strong skills in Python, R, SQL, and Hive queries.
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Proficiency in AI/ML concepts, programming languages (Python, R, Scala), and familiarity with AI/ML frameworks (TensorFlow, PyTorch, Keras, etc.) Create and implement solutions with respect to complex problems/scientific questions on large scale data sets, especially using machine learning approaches, predictive models, and statistical analysis, especially in the area of genomics, proteomics, and imaging.
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Working knowledge of statistical programming software such as SAS, R, Python. Experience analyzing utilization and outcomes using relevant administrative data sets such as Medicare Advantage, Medicare Part D, Medicaid data.
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Causal Machine Learning, Causal Inference, Causal Discovery, Counterfactual, Causal Deep Learning, Causal Structure, Structure Learning, Structure Equation Model, SEM, Explainable AI, XAI, Data Science, Deep Learning, R, Python, Julia, Bioinformatics, Multiomics, Integrative Analysis, Medicine, Actigraphy, Pregnancy, Precision Medicine, Personalized Medicine, EHR, Electronic Health Records.
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Working knowledge of programming languages such as R, Python, SQL; deep familiarity. The Director, Data Science will be a key business partner to the VP Digital and Sr. Director of Loyalty Strategy and CRM. By improving our access, understanding, and analysis of our customer data, we will be able to drive more informed decision-making and guest-focused strategies.
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A minimum of three (3) years of experience using R programming language (Python is a plus) 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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