Sr. Scientist Stat Programming, Late-stage Development (hybrid)

Merck Merck · Pharma · NJ

This role involves statistical programming for late-stage drug/vaccine clinical development projects at Merck, focusing on developing and executing statistical analysis and reporting deliverables. It requires expertise in SAS programming, data management, and adherence to clinical trial and regulatory standards.

What you'd actually do

  1. Effective analysis and report programming development and validation utilizing global and TA standards and following departmental SOPs and good programming practices
  2. Maintain and manage a project plan including resource forecasting
  3. Coordinate the activities of a global programming team that includes outsource provider staff
  4. Membership on departmental strategic initiative teams

Skills

Required

  • SAS programming
  • clinical trial programming
  • data steps
  • procedures
  • SAS/MACRO
  • SAS/GRAPH
  • systems and database expertise
  • complex programming algorithms
  • analysis plans
  • statistical terminology and concepts
  • clinical data management concepts
  • CDISC and ADaM standards
  • process compliance
  • deliverable quality
  • strategic thinking
  • stakeholder requirements

Nice to have

  • R programming
  • statistical modeling
  • data analysis
  • visualization
  • assurance of deliverable quality
  • process compliance
  • reporting processes (SOPs)
  • software development life-cycle (SDLC)
  • US and/or worldwide drug or vaccine regulatory application submission experience
  • electronic submission deliverables
  • programming consistency across protocols and projects
  • programming mentor
  • 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
  • professional societies
  • process improvement

What the JD emphasized

  • SAS programming experience in a clinical trial environment
  • Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database expertise
  • Designs and develops complex programming algorithms
  • Familiarity with clinical data management concepts
  • Experience in CDISC and ADaM standards
  • Experience ensuring process compliance and deliverable quality
  • Strategic thinking
  • Ability to anticipate stakeholder requirements