Sr. Scientist, Stat. Programming - Sdtm (hybrid)

Merck Merck · Pharma · PA

Merck is seeking a Sr. Scientist, Stat. Programming to provide oversight and quality management of submission data standard deliverables for regulatory applications. This role involves planning, coaching, consulting with project teams, and staying current with industry submission data standards like SDTM and ADaM. The incumbent will focus on improving electronic submission processes, providing tools and templates for traceability, quality assurance, data conformance, and data fitness, and collaborating with statistical programming, statistics, and regulatory stakeholders.

What you'd actually do

  1. Provides oversight and quality management of submission data standard deliverables for world-wide regulatory application submissions of drug and vaccine clinical development projects.
  2. 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.
  3. 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.
  4. Key collaborator with statistical programming, statistics, regulatory and other project stakeholders.
  5. PreNDA and PreBLA meeting preparation, study data standards plan, preparing questions for FDA e-data mailboxes (CBER/CDER), attendance at meetings with regulatory agencies (FDA, EMA, PMDA),

Skills

Required

  • SAS programming experience
  • clinical trial environment
  • US and/or worldwide drug or vaccine regulatory application submission experience
  • development of electronic submission deliverables
  • submission standards CDISC (SDTM, ADaM), Define.XML, cSDRG, ADRG
  • assurance of deliverable quality and process compliance
  • technical writing
  • project management skills
  • clinical data management concepts
  • strategic thinking
  • stakeholder requirements
  • 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

Nice to have

  • R and Python for data analysis and statistical modeling
  • reporting processes (SOPs)
  • software development life-cycle (SDLC)
  • consistency across protocols and projects
  • work across cultures and geographies
  • statistical programming deliverables through the use of global outsource partner programming staff
  • project plan using Microsoft Project or similar package
  • Active in professional societies
  • process improvement
  • Python (Programming Language)
  • R Programming

What the JD emphasized

  • SAS programming experience in a clinical trial environment
  • US and/or worldwide drug or vaccine regulatory application submission experience
  • Experience with submission standards CDISC (SDTM, ADaM), Define.XML, cSDRG, ADRG
  • Demonstrated success in the assurance of deliverable quality and process compliance.