Senior Statistical Programmer

MSD

. Provide high-quality statistical programming deliverables for global stakeholders in Early Development Statistics and/or PK/PD Modeling and Simulation across therapeutic areas .

Posted 10/22/2026full-timeUnited StatesSenior💰 $117,000 - $184,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in SAS and R programming for statistical analysis and data manipulation within clinical trial environments, with a strong understanding of CDISC SDTM and ADaM standards. Capable of developing complex programming algorithms and providing technical consultation for regulatory submissions.

Highest-signal resume keywords

SAS Programming ExperienceR Programming ExperienceCDISC SDTM and ADaM StandardsStatistical Analysis and ModelingPharmaceutical Development Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Statistical ProgrammingData ManipulationAnalysis Dataset DevelopmentComplex Algorithm DesignStatistical Methods Implementation

Soft Skills

Effective Interpersonal SkillsWritten and Oral CommunicationCollaboration with StakeholdersProblem-Solving

Tools & Technologies

SASRPythonNonMem

Industry Keywords

Clinical Trial EnvironmentPharmacokineticsPharmaceutical Development ProcessesExploratory Data AnalysisStandard Operating Procedures (SOPs)

Tech Stack

Tools & technologies

PythonSDLC

About the role

Key responsibilities & impact

Provide high-quality statistical programming deliverables for global stakeholders in Early Development Statistics and/or PK/PD Modeling and Simulation across therapeutic areas
Gather and interpret user requirements for programming requests
Retrieve required data and transform it into analysis/modeling datasets
Develop tables, listings, and figures according to statistical/modeling analysis plans
Partner with stakeholders to solve problems and improve efficiency and compliance
Write programs to analyze data with statistical methods unavailable through commercial software packages
Collaborate with statisticians, pharmacokinetic modelers, and other project stakeholders
Programmatically develop, validate, and maintain complex datasets, tables, listings, and figures
Provide technical consultation and analytical support for exploratory and unplanned statistical analyses
Prepare compliant programming code for regulatory submissions, including analysis datasets, tables, listings, figures, and documentation
Ensure programmatic traceability from data source to analysis/modeling result
Support development of programming standards
Develop and contribute to standard departmental SAS macros
Complete statistical programming deliverables through global outsource partner programming staff

Requirements

What you’ll need

BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 5–9 years SAS/R programming experience in a clinical trial environment
MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus 3–7 years SAS/R programming experience in a clinical trial environment
Effective interpersonal, written, oral, and presentation skills
Experience developing analysis and reporting deliverables for research and development projects
Ability to complete tasks independently at a project level and collaborate with key stakeholders
Experience in CDISC SDTM and ADaM standards
Significant SAS or R programming experience for data manipulation, analysis, and reporting
Ability to design and develop complex programming algorithms
Ability to comprehend analysis plans and understanding of statistical terminology and concepts
Ability to implement statistical methods not currently available through commercial software packages
Ability to work in an exploratory environment, handling non-standard data with minimal requirements
Knowledge of pharmaceutical development processes
Preferred: programming expertise with pharmacokinetic data and clinical endpoint data
Preferred: familiarity with clinical pharmacology and pharmacokinetics concepts
Preferred: experience with very large databases and complex data preprocessing, filtering, and manipulation
Preferred: experience with at least one software besides SAS, such as R, Python, or NonMem
Preferred: good working knowledge of SOPs and SDLC
Preferred: utilization and contribution to standard departmental SAS macros
Preferred: ability and interest to work across cultures and geographies
Preferred: ability to complete deliverables through global outsource partner programming staff
Preferred: active participation in professional societies
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Current contingent workers apply HERE
Visa sponsorship available
Valid driving license not required

Benefits

Comp & perks

Annual bonus and long-term incentive, if applicable
Medical, dental, and vision healthcare
Other insurance benefits for employee and family
Retirement benefits, including 401(k)
Paid holidays
Vacation
Compassionate and sick days
Visa sponsorship
Hybrid work arrangement
10% travel