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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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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.
$50 - $75 an hourExpandApply NowActive JobUpdated Today - 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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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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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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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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Relevant expertise in using analytic tools such as SAS, SQL, Python, R, ML. Research and apply emerging analytical methods and tools such as Machine Learning, Deep Learning, Advanced Statistical methods, Cloud Computing in Amazon Web Server (AWS), Python, R etc., to measure promotional impacts and optimal budget allocations.
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Our client, a leading Pharmaceutical company, is hiring a Statistician. M. S. with a minimum of 2 years’ experience or Ph. D. in Statistics, Applied Mathematics, Data Science, or. Ability to effectively communicate and explain statistical technical information to non-statistician colleagues.
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Managing a small team of programmers conducting statistical analysis using SAS, R, Python or database programming (SQL). Solid hands on experience with SAS, SQL, data analytical tool, data concepts and architecture, data lake, data mesh, data warehousing.
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Stay abreast of latest techniques in SAS Programming and CDISC Standards and continually improve internal processes to gain efficiency and regulatory compliance. Develop complex SAS Macros that help in reducing redundant programming and increase efficiency in projects.
$167,267 a yearFull-timeExpandApply NowActive JobUpdated 28 days ago - UpvoteDownvoteShare Job
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Advanced proficiency in R programming and SAS tools such as SAS/STAT, SAS Graph, and SAS Macro Language. Proficiency in R programming and SAS, including SAS Base, SAS Graph, and SAS Macros.
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General knowledge of at least one of the following is preferred: SAS, SQL, R, Python, ArcGIS. General knowledge of at least one of the following is preferred: SAS, SQL, R, Python, ArcGIS. A bachelor’s degree from an accredited university in biostatistics, mathematics, epidemiology, analytics, programming, or related field.
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sas job in Piscataway, NJ
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