Associate Principal Scientist, Statistical Programming
Merck
August 23, 2026
Remote friendly (Rahway, NJ)
United States
Clinical Research and Development
Associate Principal Scientist, Statistical Programming – Rahway, NJ
Responsibilities:
- Provide high quality statistical programming analysis and reporting deliverables for global PK modeling and simulation stakeholders (Oncology therapeutic area).
- Gather and interpret user requirements; retrieve and transform data into modeling-ready analysis datasets; develop tables and figures per modeling analysis plans.
- Lead data stewardship and take accountability for creation of modeling data from original sources to final modeling datasets.
- Collaborate with modelers, statisticians, and stakeholders; execute project plans efficiently and oversee other team members when needed.
- Programmatically synthesize preclinical/clinical data into analysis-ready structures from varied sources.
- Create modeling-ready datasets integrating PK, PD, and covariate data.
- Produce tables and graphics for study reports and regulatory submissions; ensure programmatic traceability from data source to modeling results.
- Support development of programming standards; represent statistical programming on process improvement activities.
- Produce SAS transport files and associated documentation for regulatory submissions.
Education Requirements:
- Bachelor’s degree (or US equivalent) in CS/Statistics/Applied Math/Life Sciences/Engineering/Pharmaceutical Sciences or related field + 9 years SAS programming experience in a clinical trial environment.
- OR Master’s degree (or US equivalent) in the same fields + 7 years SAS programming experience.
Position Requirements:
- Significant expertise in SAS and clinical trial programming (data steps, procedures, SAS/MACRO, SAS/GRAPH) with clinical endpoint (efficacy/safety) and pharmacokinetic data (raw concentrations, derived PK parameters).
- Ability to design complex programming algorithms; manipulate clinical trial datasets (preprocessing, filtering, manipulation); handle non-standard data formats in exploratory environments.
- Knowledge of pharmaceutical development processes; ability to comprehend and program methods from analysis plans.
- Understanding of statistical/pharmacokinetic terminology and implementing methods not available in commercial software.
- Broad experience delivering R&D analyses/reporting deliverables (data, analyses, tables, graphics, listings).
- Ability to lead at program level, ensure consistency, direct others, and engage stakeholders; strong project management and interpersonal skills.
Benefits/Compensation:
- Salary range: $144,373.00–$224,100.00 per year; eligible for annual bonus and long-term incentive (if applicable).
- Comprehensive benefits including medical/dental/vision, retirement (401(k)), paid holidays, vacation, and compassionate/sick days.
Responsibilities:
- Provide high quality statistical programming analysis and reporting deliverables for global PK modeling and simulation stakeholders (Oncology therapeutic area).
- Gather and interpret user requirements; retrieve and transform data into modeling-ready analysis datasets; develop tables and figures per modeling analysis plans.
- Lead data stewardship and take accountability for creation of modeling data from original sources to final modeling datasets.
- Collaborate with modelers, statisticians, and stakeholders; execute project plans efficiently and oversee other team members when needed.
- Programmatically synthesize preclinical/clinical data into analysis-ready structures from varied sources.
- Create modeling-ready datasets integrating PK, PD, and covariate data.
- Produce tables and graphics for study reports and regulatory submissions; ensure programmatic traceability from data source to modeling results.
- Support development of programming standards; represent statistical programming on process improvement activities.
- Produce SAS transport files and associated documentation for regulatory submissions.
Education Requirements:
- Bachelor’s degree (or US equivalent) in CS/Statistics/Applied Math/Life Sciences/Engineering/Pharmaceutical Sciences or related field + 9 years SAS programming experience in a clinical trial environment.
- OR Master’s degree (or US equivalent) in the same fields + 7 years SAS programming experience.
Position Requirements:
- Significant expertise in SAS and clinical trial programming (data steps, procedures, SAS/MACRO, SAS/GRAPH) with clinical endpoint (efficacy/safety) and pharmacokinetic data (raw concentrations, derived PK parameters).
- Ability to design complex programming algorithms; manipulate clinical trial datasets (preprocessing, filtering, manipulation); handle non-standard data formats in exploratory environments.
- Knowledge of pharmaceutical development processes; ability to comprehend and program methods from analysis plans.
- Understanding of statistical/pharmacokinetic terminology and implementing methods not available in commercial software.
- Broad experience delivering R&D analyses/reporting deliverables (data, analyses, tables, graphics, listings).
- Ability to lead at program level, ensure consistency, direct others, and engage stakeholders; strong project management and interpersonal skills.
Benefits/Compensation:
- Salary range: $144,373.00–$224,100.00 per year; eligible for annual bonus and long-term incentive (if applicable).
- Comprehensive benefits including medical/dental/vision, retirement (401(k)), paid holidays, vacation, and compassionate/sick days.