In BARDS (Biostatistics and Research Decision Sciences), a distinguished department within our renowned Research and Development division, quantitative scientists, in partnership with other subject matter experts, apply state-of-the art scientific methodologies and tools to enable the discovery, development, regulatory approval, manufacturing, and marketing of medical drugs and vaccines for the benefit of patients and global human health.
Responsibilities:
The Senior Statistical Programmer, Submission Data Standards Quality Management (SDSQM), provides oversight and quality management of submission data standard deliverables for world-wide regulatory application submissions of drug and vaccine clinical development projects. Accountability predominantly includes submission data standards planning activities, coaching and consulting with project teams, outreach to external vendors and partners, and keeping current with industry submission data standards including SDTM, ADaM, clinical site data for CDER inspection planning, etc.
The incumbent will be responsible for continuous improvement of our electronic submission process and providing tools and templates to support delivery focusing on traceability, quality assurance, data conformance and data fitness. The position is a key collaborator with statistical programming, statistics, regulatory and other project stakeholders.
Primary Activities :
Education and Minimum Requirement :
Department Required Skills and Experience:
Position Specific Required Skills and Experience:
** Preferred Skills and Experience:
Required Skills:
Clinical Trials, Computer Programming, Computer Science, Data Management, Data Modeling, Electronic Submissions, Microsoft Project, Numerical Analysis, Process Improvements, Project Management, Regulatory Compliance, SDTM Mapping, Stakeholder Relationship Management, Statistical Programming, Strategic Thinking, Study Data Tabulation Model (SDTM), Technical Writing, Waterfall Model
Preferred Skills:
Python (Programming Language), R Programming
Tagged as: Life Sciences
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