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Must possess five (5) years of experience all of the following: Designing Phase III Oncology clinical trials including adaptive designs or through Bayesian methods; R, R-shiny and SAS programming; Conducting simulations; Performing biomarker analyses; Developing and submitting sNDA and NDA; Developing scientific publications of clinical oncology trials.
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Reporting to the VP of Statistical programming, the Associate Director acts as statistical programming lead with accountability for various Ultragenyx products and study deliverables; This position will provide leadership and support to project teams on all statistical programming matters.
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Intermediate understanding of SQL and/or some knowledge of a scripting/compiled/statistical programming language (e.g. Python, R,. Advanced degree in analytics or statistical modeling.
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The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients.
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Statistical programming expertise. Proficiency with the following technical capabilities: Apache Spark, Databricks, Azure Data Factory, Azure Machine Learning Studio, SQL, Docker and/or Kubernetes.
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Work collaboratively with Biomarker Clinical Data Associates, Biomarker Statistical Programmers, Bioinformatics, Biomarker Scientists and Biomarker/BioAnalytical Operations to meet project deliverables.
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Leverage expert knowledge of a variety of statistical and machine learning techniques and methods to define and develop programming algorithms; train, evaluate, and deploy predictive analytics models that directly inform mission decisions.
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As a Principal Statistical Programmer , you will leverage your advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials.
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YOUR ROLE:Experience with analytical / statistical programming tools for data extraction and summarization, statistics, visualization and analysis (Alteryx, SAS, SQL, R, Tableau, etc. Expert level in using analytical / statistical programming tools and querying complex data sources.
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Experience or coursework in advanced analytics such as analytic discovery, descriptive statistics, forecasting, experimental design, statistical inference, or predictive models. Demonstrated application of advanced analytic skills to business problems in two or more areas including analytic discovery, descriptive statistics, forecasting, multivariate modeling, experimental design, statistical inference, or predictive models.
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Expertise in statistical software (e.g., R, SAS), programming languages (e.g., Python, SQL), and big data technologies (e.g., Hadoop, Spark). Strong understanding of statistical analysis, predictive modeling, and machine learning algorithms.
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This role will interact with Biostatistics, Clinical Data Management, Medicals, Clinical Operations and Regulatory to design, write, validate and document SAS programs in accordance with company, industry, and regulatory requirements; you will play a key role in developing, implementing and evaluating statistical programming standards and processes; serve as expert on CDISC data standard; develops global macros to improve efficiency and capacity of statistical programming function.
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Proficient in statistical programming languages/software such as SAS, R Excellent communication and presentation skills including the ability to translate and disseminate sophisticated scientific information in a clear and concise manner.
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Scope appropriate CNC equipment to be used, develop CNC fixtures, implement touch probing, lead the reduction of cycle time, development of advanced cutters and coatings, High Speed Machining implementation, support the programming and optimization of all CNC-related activities at contract manufacturers worldwide.
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Use statistical programming languages, such as SAS, STATA, and R, to perform econometric and statistical analyses of health care policy. Familiar with one or more of the following technical competencies: statistical analysis, programming, data management, policy research, or study design.
$54,000 - $65,000 a yearInternExpandUpdated Today
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