Sr. Scientist, Stat. Programming, Late-Stage Oncology (Hybrid)
Merck
August 07, 2026
Remote friendly (Rahway, NJ)
United States
Clinical Research and Development
Position Supports statistical programming for late-stage drug/vaccine clinical development. May include leadership of one or more projects. Accountable for development/execution of statistical analysis and reporting deliverables (safety/efficacy datasets, tables, listings, figures) from clinical trials through worldwide regulatory submissions and post-marketing support. Designs and maintains statistical datasets supporting multiple stakeholder groups; collaborates with statistics and project stakeholders; serves as statistical programming point of contact and knowledge holder through product lifecycle.
Primary Activities:
- Develop and validate analysis and report programming using global/TA standards and departmental SOPs
- Maintain and manage project plan including resource forecasting
- Coordinate global programming team (including outsource providers)
- Participate in departmental strategic initiative teams
Education/Minimum:
- BA/BS in CS, Statistics, Applied Math, Life Sciences, Engineering (or related) + 5+ years SAS programming in clinical trials
OR
- MS in same fields (or related) + 3+ years SAS programming in clinical trials
Required Skills/Experience:
- Interpersonal collaboration and negotiation; strong written/oral/presentation skills
- Experience developing R&D analysis/reporting deliverables (data, analyses, tables, graphics, listings)
- Project leadership; independent at project level; collaborate with stakeholders
- Deep SAS clinical trial programming expertise (data steps, procedures, SAS/MACRO, SAS/GRAPH; systems/DB)
- Design/develop complex programming algorithms; understand statistical terminology/concepts
- Familiarity with clinical data management; experience with CDISC and ADaM
- Ensure process compliance and deliverable quality; strategic-to-tactical thinking
- Anticipate stakeholder requirements
Preferred:
- GenAI tools (Python, R, R Shiny, etc.); reporting/SOP and SDLC knowledge
- Regulatory submission experience (US/worldwide) incl. electronic submission deliverables
- Programming consistency across protocols; mentor experience; cross-culture/geography experience
- Project planning with Microsoft Project or similar; professional society activity; process improvement
Application:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub). Apply no later than the day before job posting end date.
Primary Activities:
- Develop and validate analysis and report programming using global/TA standards and departmental SOPs
- Maintain and manage project plan including resource forecasting
- Coordinate global programming team (including outsource providers)
- Participate in departmental strategic initiative teams
Education/Minimum:
- BA/BS in CS, Statistics, Applied Math, Life Sciences, Engineering (or related) + 5+ years SAS programming in clinical trials
OR
- MS in same fields (or related) + 3+ years SAS programming in clinical trials
Required Skills/Experience:
- Interpersonal collaboration and negotiation; strong written/oral/presentation skills
- Experience developing R&D analysis/reporting deliverables (data, analyses, tables, graphics, listings)
- Project leadership; independent at project level; collaborate with stakeholders
- Deep SAS clinical trial programming expertise (data steps, procedures, SAS/MACRO, SAS/GRAPH; systems/DB)
- Design/develop complex programming algorithms; understand statistical terminology/concepts
- Familiarity with clinical data management; experience with CDISC and ADaM
- Ensure process compliance and deliverable quality; strategic-to-tactical thinking
- Anticipate stakeholder requirements
Preferred:
- GenAI tools (Python, R, R Shiny, etc.); reporting/SOP and SDLC knowledge
- Regulatory submission experience (US/worldwide) incl. electronic submission deliverables
- Programming consistency across protocols; mentor experience; cross-culture/geography experience
- Project planning with Microsoft Project or similar; professional society activity; process improvement
Application:
- Apply via https://jobs.merck.com/us/en (or Workday Jobs Hub). Apply no later than the day before job posting end date.