Sr. Scientist - Analysis and Reporting Standards, Innovation (hybrid)

Merck Merck · Pharma · PA

This role focuses on developing and validating global programming standards for analysis and reporting deliverables in the biostatistics and research decision sciences department at Merck. It involves creating standards for ADaM datasets, efficacy and safety analysis, and reporting, as well as designing complex programming algorithms and providing technical consultation. While AI/GenAI tools are mentioned as a preferred skill for enhancing coding efficiency, the core responsibilities are centered around traditional statistical programming and data standards within a clinical trial environment.

What you'd actually do

  1. Develop and validate global programming standards for ADaM datasets
  2. Develop and validate global programming standards for efficacy analysis and reporting
  3. Develop and validate global programming standards for safety analysis and reporting
  4. Design and develop complex programming algorithms
  5. Provide technical consultation and analytical support to statistical programmers and statisticians

Skills

Required

  • BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5 years of statistical programming experience in a clinical trial environment OR MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 3 years of statistical programming experience in a clinical trial environment
  • Excellent interpersonal skills and ability to negotiate and collaborate effectively
  • Excellent written, oral, and presentation skills
  • Knowledge and significant experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, listings, figures)
  • A project leader; completes tasks independently at a project level; ability to collaborate with key stakeholders
  • Expertise in clinical trial programming, including data manipulation, reporting workflows, visualization, and production-quality practices using multiple programming languages and tools.
  • Knowledge and understanding of CDISC SDTM and ADaM analysis dataset standards
  • Experience working with analytical research databases including various analysis datasets and procedures
  • Demonstrated understanding of statistics, clinical trial, and data management concepts as applied to drug/vaccine development
  • Applied Engineering
  • Clinical Database Programming
  • Clinical Trials
  • Collaborative Communications
  • Computer Science
  • Data Management
  • Data Modeling
  • Innovation
  • Mechatronics
  • Numerical Analysis
  • Programming Languages
  • Research Databases
  • Stakeholder Relationship Management
  • Statistical Methods
  • Technical Consulting
  • Waterfall Model

Nice to have

  • Experience developing flexible and efficient multilingual products for analysis and reporting using R, Python, SAS.
  • Experience using AI/GenAI tools, such as Claude Code, to enhance coding, automation, and workflow efficiency.
  • Ability to comprehend analysis plans which may describe methodology to be programmed; understanding of statistical terminology and concepts; Implements statistical methods not currently available through commercial software packages
  • Ability and interest to work across cultures and geographies
  • Active in professional societies
  • Preferred Skills

What the JD emphasized

  • statistical programming experience in a clinical trial environment
  • Expertise in clinical trial programming
  • Knowledge and understanding of CDISC SDTM and ADaM analysis dataset standards