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Professional programming skills with SAS. SQL and R programming experience. Lead and execute with full ownership of RWE studies/analyses by SAS/SQL/R/Python based on claim database, EMR database, registry data and public used files.
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Analyzing and defining data requirements and specifications using various tools and methodologies (e.g., Statistical Package for Social Sciences [SPSS], Statistical Analysis System [SAS], R Analytics, Statistics and Data [STATA]) to discover new patterns and behaviors providing DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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Minimum 9 years of experience programming in SAS/SQL/R/Python with at least 3-5 year in the pharmaceutical industry. Provide input and contribute into development of the SAS/SQL/R/Python programming environment.
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Proficient with software used for data mining, statistical analysis, and data visualization (SAS, SQL, R, SPSS, Qlik, Power BI, Tableau, etc.) Demonstrated performance excellence in one or more of the following computer languages: SQL, SAS, R, Python.
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I.e., Python, MySQL, D3, SPSS, SAS, Visual Basic, R, etc.) appropriate software/code: Apache Spark, ElasticSearch, R, Python, Kibana. for data visualization (i.e., SPSS, SAS, MatLab, Tableau, etc.
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Experience with Excel and at least one statistical programming packages such as STATA, Visual Basic, SAS, R, MATLAB, or Mathematica. Analyzing data quality and performing data analysis using statistical packages such as Stata, R, Python and SAS.
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In addition to the responsibilities listed below, this position is also responsible for overseeing all phases of data management, quality control, and reporting; programming in analytical programming languages (may include SAS, SQL, SPSS, R, Python, etc.
$130,600 - $169,070 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with analytics tools like SAS, R, Python, and other advanced statistical software. Web development experience with React, Vue.js, Angular, or other technologies. Experience integrating Business Intelligence applications like Qlik Sense, Tableau, or PowerBI.
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Certificate in business analytics, data mining, or statistical analysis, Statistical programming languages (for example, SAS, R) Languages: R, Python (Pandas, Seaborn, Scikit-learn), SQL,Hive, Pig, Impala, Sqoop, Kafka, VBA, Shell.
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Statistical tools: SAS, R and/or Python, Office 365, Other statistical software’s (e.g. JMP, S+, East, PASS, As a core objective, his/her responsibilities include but not limited to provide statistical support in R&D for pre-clinical work, bioassay and biomarker research.
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Analytics Tools: Excel, Tableau, AWS, BigQuery, NoSQL,Hadoop, Spark, Airflow, Gurobi, JIRA, Stata, Git. Advanced Analytics - Applied Econometrics, Advanced Calculus, Statistical Methods, Data Visualization, Decision Analytics & Optimization, ML, Big Data, Social Network Analytics.
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Experience with data analytics and the use of statistical programming languages like R, Python, SAS is preferred. Experience with the use of and scripting in different software packages like SAS, JMP, Minitab, Spotfire, Umetrics SIMCA, and Discoverant is an advantage.
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Using various tools (e.g., SPSS, SAS, R, STATA) and methodologies for analyzing and interpreting complex data to discover new patterns and behaviors and provide usable information to decision makers and other users.
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Programming languages may include-but are not limited to-Python, R, SQL, Java, SAS, and MATLAB. Rapid prototype, develop, and maintain (in Python / SQL / R) analytical toolkits and Business Intelligence Dashboards supporting the Pricing & Revenue Management and Fleet Management teams.
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SAS, SQL, R, Python) Database technologies (e.g. PostgreSQL, Redshift, Snowflake. Data mining/programming tools (e.g. SAS, SQL, R, Python) Production experience with: HDFS, YARN, Hive, Spark, Kafka, Oozie / Airflow, Amazon Web Services (AWS), Docker / Kubernetes, Snowflake.
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