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This position supports statistical programming activities for multiple and/or late stage drug/vaccine clinical development projects. Ability to complete statistical programming deliverables through the use of global outsource partner programming staff.
$130,960 - $206,200 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Proficiency in SQL for data manipulation and statistical programming in R, Python, or Stata. Lead statistical analyses for large-scale projects, designing and programming code to integrate and evaluate diverse data sources.
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The bioinformatics analyst will be responsible for working on a variety of bioinformatics analysis projects including on method development; executing, improving, and developing informatics pipelines based on evaluation of computational tools and reference databases; and conducting and reporting data analysis using principles of good statistical scientific practice and reproducible research.
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Guide the development of algorithms and pipelines as well as statistical methods for improving variant (SNV, CNV and fusion) calling for clinical NGS assays across a range of assay technologies including but not limited to NGS.
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In addition, the Principal Statistical Programmer works with management to delegate tasks appropriately, track progress, and provide expert technical support to team members. The Principal Statistical Programmer is a designated member of clinical sub-teams in the role of project lead Statistical Programmer.
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Under the supervision of a senior staff from the Biostatistics group, the incumbent will work closely with colleagues from Data Management, Statistical Programming, Clinical Development, Clinical Operations, Regulatory Affairs and Medical Affairs.
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Proficient in at least 1 of the following programming languages: Statistical Analysis System (SAS), Structured Query Language (SQL), Python, or R-programming language. Utilize statistical analysis and data visualization techniques to communicate findings and recommendations to stakeholders in both reports and presentations.
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Experience supporting statistical or research applications such as MATLAB, STATA, SAS, Mathematica, or similar. Knowledge of massively-parallel computing and one or more associated parallel programming interfaces, such as MPI, OpenMP, or CUDA.
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Supporting teams to analyze and define data requirements and specifications for 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 and provide DHS Headquarters (HQ) and/or Component stakeholders actionable recommendations.
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Proficiency in data analysis tools and programming languages such as Python, R, SQL, and/or others. Design and execute data analyses, utilizing statistical methods, machine learning techniques, and predictive modeling to extract actionable insights.
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Proficiency in programming languages (e.g., Python, R), statistical analysis packages, and data visualization tools. Modeling or Programming: excellence in Excel and/or programming languages (e.g., Python, R, etc.
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Expertise in statistical programming, data mining and machine learning tools (Python, SAS, R, etc. Minimum 8 years of Python development and other programming languages with experience in Object Oriented Analysis, Design and testing best practices.
$123,000 - $155,000 a yearFull-timeExpandUpdated Today - UpvoteDownvoteShare Job
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Strong experience with statistical programming (SQL/SAS). Strong analytic skills; experience with statistical methods for handling large observational database. Postgraduate training in epidemiology, health economics, health policy, health services research, healthcare administration, statistics.
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SAS & R: Statistical programming for clinical trial data analysis. Ability to use Excel basic understanding of a statistical software language, and proficiency in a programming language is preferred.
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Demonstrated problem-solving, analytical, and multitasking skills with a good understanding of clinical research, statistical programming and CDISC standards. A technical and innovative role that partners with statistical programming, clinical analytics, data standards, statistical sciences, data sciences and information technology experts to implement next generation clinical data analysis ecosystem.
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