Associate Principal Scientist, Stat. Programming - A&R Standards, Innovation (Hybrid)
Merck
June 24, 2026
Remote friendly (Rahway, NJ)
United States
Clinical Research and Development
Responsibilities:
- Support the design, development, and delivery of efficient, flexible, modular analysis, reporting, and submission standards for drug and/or vaccine projects across therapeutic areas.
- Adhere to departmental SOPs and guidelines.
- Drive data structures including analysis/reporting data standards and submission standards; contribute to strategic initiatives.
Primary Activities:
- Develop and validate global programming standards for ADaM datasets.
- Develop and validate global programming standards for efficacy and safety analysis/reporting.
- Design and develop complex programming algorithms.
- Provide technical consultation and analytical support to statistical programmers and statisticians.
- Represent the company on industry initiatives (R Consortium, TransCelerate, PHUSE, CDISC).
- Collaborate with stakeholders/partners on analysis & reporting standard programs.
Education And Minimum Requirement:
- BA/BS in CS, Statistics, Applied Mathematics, Life Sciences, Engineering, or related field + 9+ years SAS programming experience in a clinical trial environment.
- MS in same fields + 7+ years SAS programming experience in a clinical trial environment.
Required Skills And Experience:
- Interpersonal skills for negotiation and collaboration.
- Strong written, oral, and presentation skills.
- Experience developing R&D analysis/reporting deliverables (data, analyses, tables, listings, figures).
- Strong project management; program-level leadership; ability to engage stakeholders.
Position Specific Required Skills And Experience:
- Expertise in SAS clinical trial programming (data steps, procedures, SAS/MACRO, SAS/GRAPH) and familiarity with at least one other statistical computing software.
- Knowledge of CDISC SDTM and ADaM standards.
- Experience with analytical research databases and datasets/packages.
- Understanding of statistics, clinical trial, and data management concepts for drug/vaccine development.
Preferred Skills And Experience:
- Experience developing flexible/efficient complex analysis and reporting standard SAS macros.
- R, Python, XML; Linked data/NLP; SAS/R in Unix/Linux; comprehend analysis plans and implement methods not available in commercial software; work across cultures/geographies; active in professional societies.
- Support the design, development, and delivery of efficient, flexible, modular analysis, reporting, and submission standards for drug and/or vaccine projects across therapeutic areas.
- Adhere to departmental SOPs and guidelines.
- Drive data structures including analysis/reporting data standards and submission standards; contribute to strategic initiatives.
Primary Activities:
- Develop and validate global programming standards for ADaM datasets.
- Develop and validate global programming standards for efficacy and safety analysis/reporting.
- Design and develop complex programming algorithms.
- Provide technical consultation and analytical support to statistical programmers and statisticians.
- Represent the company on industry initiatives (R Consortium, TransCelerate, PHUSE, CDISC).
- Collaborate with stakeholders/partners on analysis & reporting standard programs.
Education And Minimum Requirement:
- BA/BS in CS, Statistics, Applied Mathematics, Life Sciences, Engineering, or related field + 9+ years SAS programming experience in a clinical trial environment.
- MS in same fields + 7+ years SAS programming experience in a clinical trial environment.
Required Skills And Experience:
- Interpersonal skills for negotiation and collaboration.
- Strong written, oral, and presentation skills.
- Experience developing R&D analysis/reporting deliverables (data, analyses, tables, listings, figures).
- Strong project management; program-level leadership; ability to engage stakeholders.
Position Specific Required Skills And Experience:
- Expertise in SAS clinical trial programming (data steps, procedures, SAS/MACRO, SAS/GRAPH) and familiarity with at least one other statistical computing software.
- Knowledge of CDISC SDTM and ADaM standards.
- Experience with analytical research databases and datasets/packages.
- Understanding of statistics, clinical trial, and data management concepts for drug/vaccine development.
Preferred Skills And Experience:
- Experience developing flexible/efficient complex analysis and reporting standard SAS macros.
- R, Python, XML; Linked data/NLP; SAS/R in Unix/Linux; comprehend analysis plans and implement methods not available in commercial software; work across cultures/geographies; active in professional societies.