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Global (indirect) leadership and oversight of 3rd party suppliers of project level statistical and programming resource (eg GSK and Pfizer) to VH. Accountable for statistical (e.g., randomization/blinding/unblinding, protocol development, analysis planning, ADaM and TLF) deliverables and key milestones for supported projects.
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Programming Proficiency: Fluency in Python with deep knowledge of statistical packages and ML/DL libraries/frameworks (e.g., Scikit-learn, NumPy, Keras/TensorFlow/PyTorch) and visualization libraries (e.g., Matplotlib, Plotly, Seaborn.
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Database Skills: Fluency in SQL and familiarity with data visualization tools (e.g., DataStudio, Tableau). Pattern and Irregularity Analysis: Use statistical tools to uncover patterns and irregularities in data that could indicate fraudulent activities.
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Ability to operate a computer use spreadsheet, database, word processing, and assembly language programming software. Ability to work with mathematical concepts such as probability and statistical inference, and fundamentals of plane and solid geometry and trigonometry.
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Consults with Programming and Data Management colleagues regarding deliverables relating to programming and data management activities, including but not limited to: database set up, data standards (CDISC), analysis database conversions (eg, ADaM), data repository, and data re-use.
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Strong knowledge of and experience with reporting packages (Business Objects), databases (SQL, Teradata, HANA, Azure and Snowflakes) , programming (XML, JavaScript, or ETL frameworks) Responsible for the evolution of data, including designing and evolving schema, streamlining of data operations, and maintaining our database to ensure peak performance.
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Outstanding SAS® programming skills and familiarity of other statistical packages (eg StatXact, Nquery) and understanding of database structures. Excellent understanding of the statistical principles underlying clinical trials.
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Interpret data, analyze results using statistical techniques and provide ongoing reports Minimum of 2 years in developing, creating and updating objects and views using MS. SQL Store Procedure, Denodo, Mulesoft, Azure Data Bricks, and Snowflakes.
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Basic (Level 1) R programming experience with statistical and regression analysis. Experience with Tableau Data VisualizationIntermediate level SQL skills including database creation, SQL Joins and conditional filters.
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Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with programming using a combination of the following: Python, MATLAB, machine learning and statistical programming, web-development, database query through SQL, high-performance computing, and scientific computing.
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Will provide leadership and support relating to the Quantitative Data Sciences (Statistics) areas of statistics, statistical programming, and clinical data management for ViiV Healthcare (VH) for one or more programs.
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5 years of experience in statistical programming (SAS, R, or Python) and professional experience in CRM, Database Marketing, Analytics, or Strategy Consulting. Utilize statistical programming tools (SAS, R, Python) for data manipulation and analysis.
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Must have knowledge of electronic computer programming; electronic data processing equipment and its capabilities; principles and techniques of studying work processes for new or revised electronic computer applications; principles of designing methods of processing data; technical report writing; statistical methods.
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The Clinical Data Manager will be responsible for daily data management tasks for all phases of clinical trials including CRO/vendor oversight and support other functional areas such as clinical operations, statistical programming, and biostatistics.
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Experience must include applied SAS programming, including Base SAS, SAS/Stat, SAS/Graph, SAS macros and ODS; database systems; R; implementing CDISC standards; and clinical data analysis and reporting processes for drug development.
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