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Data Management - Clinical Data Quality

San Diego Metro Area, California

Post Date: 03/20/2017 Job ID: JN -032017-18621
Data Management - Data Informatics
To contribute to our informatics and data management initiatives in Research and Early Development
This hands-on role interfaces with programs spanning both discovery and translational sciences where processing and interpreting multi-platform and multi-dimensional omic data in pre-clinical and clinical settings is being employed to identify molecular drug targets, characterize MOA, prioritize clinical indications and generate patient selection hypotheses.
Develop, enhance, and automate processes for queuing and prioritizing data management and curation requests
Implement a quality control (QC) process to evaluate compliance with data models and taxonomies to ensure cohesion of curated data across time as data models and configurations evolve
Participate in comprehensive data review activities in coordination with project and study teams
Work with computational biologists, computational scientists, biostatisticians and study scientists to resolve data quality issues

Bachelor s degree in a related discipline with at least 8 years experience in biomedical data management, data engineering, quality assurance, assay development, specimen data management or related discipline
Extensive experience managing, processing, and applying quality control metrics and processes to a wide range of data types in support of clinical trials and drug development experiments while working in close collaboration with basic research, translational and computational scientists.
Detailed knowledge and experience in case report form design, central laboratories, programming databases, query resolution, data validation
Computer skills: detailed knowledge of at least one data management system (Oracle Clinical or Clintrial preferred), experience with SAS data sets and conversion procedures required; knowledge of MS Office program suite required
Knowledge of distributed database design and implementation, LAMP/ MySQL, etc. with capability to perform/direct/assess implementation of such databases
Strong understanding of LIMS systems and systematic, relational approaches to data integration and data processing workflows
Excellent skills in SAS and R programming and experience in additional computer languages such as Perl, Python, PHP, S-PLUS or Java (or C/C++)
Working knowledge of both Windows and Linux operating systems is required
Along with programming proficiency must have creativity, and show a strong capacity for independent thinking and the ability to grasp underlying biological questions

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