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High level expertise in use of statistical software such as SAS, Stata, R, Python or similar data analytic software. Applies advanced techniques in SAS software for longitudinal data analysis, data linkage across large datasets, construction of medication use calendars, and statistical modeling of outcomes.
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Strong SAS programming skills required in Windows & UNIX environment with proficiency in SAS/Base, SAS Macros, SAS/Stat. Knowledge of working in SAS Grid environment with experience in SAS Enterprise Guide and SAS Studio is a plus.
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Advanced programming capacity in R (R Shiny) with proficiency in SAS. As a Senior Programmer/Analyst, Real-World Data and Analytics, you will conduct hands-on programming (expert level for R, proficiency with SAS is also desired) in supporting our real-world data & analytics needs under the supervision of our Director HEOR analytics scientists.
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Understanding database schematics or data setsExperience in analysis, data analysis, data visualization, mathematics, statistical data mining, or data sciencePrevious experience with one or more of the following: SAS Software, Tableau, Power BI, Alteryx, or other data analysis toolsThis role is not eligible to be performed in Colorado, California, District of Columbia, Hawaii, Maryland, New York, Nevada, Rhode Island or Washington.
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Required Skills & Experience PhD in Computer Science, Statistics, or a related field Strong programming skills in SAS Data visualization experience RWD Desired Skills & Experience Experience working with patient reported outcomes data What You Will Be Doing 80% Hands On 20% Team Collaboration Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
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Relevant expertise in using analytic tools such as Excel, SAS, SQL, Python, R, ML. Analyzing sales impact of promotional campaigns such as Linear TV, Streaming TV, Over-the-Top (OTT), Radio, Mobile, Display, Social, Point of Care, Paid & Organic search etc.
$235,100 a yearFull-timeExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Proficiency in major statistical software packages and programming languages (e.g., R, JMP, MINITAB, or SAS). Proficiency in major statistical software packages and programming languages (e.g., R, JMP, MINITAB, or SAS.
$60 an hourExpandApply NowActive JobUpdated 19 days ago - UpvoteDownvoteShare Job
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Proficiency in statistical software (e.g. SAS, R, Python) preferred. Proficiency in statistical software (e.g. SAS, R, Python) preferred. Deep understanding Symphony patient claims data and IQVIA NPA data.
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Skills to create and maintain ETL workflows/processes for a myriad of data sources including cloud sources, creating source to target specifications from client requirements and completing development of ETL processes using Oracle PL/SQL, Informatica, R, SAS or any other ETL tools.
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Proficiency in scientific computing/programming (SAS, R or Python) and implementation of advanced statistical analysis, data manipulation, graphing & simulation. PhD (6+ years' experience) or MS (8+ years' experience) in statistics or biostatistics or related scientific field with clinical trials, drug development, pharmaceutical industry or healthcare experience.
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Strong data science skills using tools like SQL, R, Python, or SAS. Working knowledge of Business Intelligence products (i.e. Looker, Tableau, QLik, etc. Experience with Epic Clarity and Caboodle.
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BS or MS degree in Computer Science, Statistics, or related health science field with a minimum of 5 years of SAS programming experience with clinical trial data. Good understanding of the Clinical trial domain and good SAS programming skills.
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Experience in the following areas is strongly preferred: VEEVA / CRM, PowerBI, Power Query, SAS, Tableau. Expand analytical and reporting capabilities within established infrastructure (VEEVA, PowerBI, SAS, Tableau.
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Data modeling, quality, analysis, profiling (working experience with any data quality tool, SAS, Ataccama, Informatica Data Quality, Talend, OpenRefine) The Scientific Knowledge Engineering team, which sits within the Onyx Product Management organization, is responsible for the data modeling, ontology definition and management, vocabulary mapping, and other key metadata activities that ensure Onyx platforms and data assets speak scientific language.
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Working competency of Statistical Process Control and related tools (JMP/MiniTab/SAS). Working competency of Statistical Process Control and related tools (JMP/MiniTab/SAS). Overall knowledge of parenteral technology: aseptic processing, sterilization, isolator processing, lyophilization.
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sas job in South Plainfield, NJ
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