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Your Mission: Reporting to the Manager, Statistical Programming, you will
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Provide support for the industrialized standardization of historical clinical trial data using industry standards (e.g., SDTM, ADaM) and related processes.
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Work collaboratively with all the team leads you will provide high-quality, regulatory-compliant standardized data to improve clinical trials.
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Lead the analysis datasets development and also support the standardization of EDC data.
Your Competencies:
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Be the ADaM expert, supporting SDTM and ADaM programming to create pooled analysis datasets for regulatory submission.
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Work with biostatisticians and data analysts to understand the dataset requirements; document and program to create the analysis datasets. Coordinate with vendors for ADaM development and oversee their deliverables
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Perform ad hoc queries on raw and standardized data for selected baseline characteristics and summarize the results for statisticians, data engineers and project managers.
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Research clinical trials in clinicaltrials.gov, Trialtrove, PubMed and other references to explore study characteristics
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Help to improve the data standardization process with the automations and implementation of algorithms
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Assist junior team members on ADaM development related activities and deliveries
Your Education & Experience:
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Bachelor's degree in life science or a quantitative discipline required.
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7+ years experience working with EDC data from variety of clinical trials across sponsors including hands-on work in and in-depth knowledge of all of the following:
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Write/review ADaM specifications and programming/validate including efficacy domains
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Analyze subject-level clinical trials data Program and validate SDTM datasets
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Read protocols, SAP, explore clinical datasets and make judgments about meaning and patterns in the data.
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Advanced skills in SAS base, macros and SQL required
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Programming knowledge in R or similar language is plus.
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Preferred experience in oncology trials or pooled clinical trials data and Integrated analysis (ISS and ISE)