Senior Scientist, Statistical Programming – Late-Stage, Non-Oncology

MSD

Sr. Scientist supporting statistical programming activities for late stage drug/vaccine clinical development projects.

Posted 7/10/2026full-timeNorth Wales • New Jersey, Pennsylvania • 🇺🇸 United StatesSenior💰 $117,000 - $184,200 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in SAS programming for clinical trials, including the development of statistical analysis and reporting deliverables. Proven ability to lead projects, collaborate with stakeholders, and ensure compliance with industry standards such as CDISC and ADaM.

Highest-signal resume keywords

SAS Programming ExperienceStatistical Analysis and ReportingProject LeadershipCDISC and ADaM StandardsInterpersonal and Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SAS ProgrammingStatistical AnalysisData ManagementProgramming AlgorithmsStatistical Datasets DesignSAS/MACROSAS/GRAPHClinical Trial ProgrammingAnalysis Plans ComprehensionProcess Compliance

Soft Skills

Effective CollaborationNegotiation SkillsStrategic ThinkingPresentation SkillsIndependent Task Completion

Industry Keywords

Clinical DevelopmentOutcomes ResearchSafety EvaluationStakeholder RequirementsR&D ProjectsStatistical TerminologyDeliverable QualityClinical Data Management

About the role

Key responsibilities & impact

support statistical programming activities for late stage drug/vaccine clinical development projects
leadership of one or more projects
development and execution of statistical analysis and reporting deliverables (e.g. safety and efficacy analysis datasets, tables, listings, figures)
design and maintenance of statistical datasets that support multiple stakeholder groups which include clinical development, outcomes research and safety evaluation
key collaborator with statistics and other project stakeholders in ensuring that project plans are executed efficiently with timely and high quality deliverables
serve as the statistical programming point of contact and knowledge holder through the entire product lifecycle

Requirements

What you’ll need

BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field
minimum of 5 years SAS programming experience in a clinical trial environment OR MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 3 years SAS programming experience in a clinical trial environment
Effective interpersonal skills and ability to negotiate and collaborate effectively
Effective written, oral, and presentation skills
Effective knowledge and experience in developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings)
A project leader; completes tasks independently at a project level; ability to collaborate with key stakeholders
Significant expertise in SAS and clinical trial programming including data steps, procedures, SAS/MACRO, SAS/GRAPH; systems and database expertise
Designs and develops complex programming algorithms
Ability to comprehend analysis plans which may describe methodology to be programmed; an understanding of statistical terminology and concepts
Familiarity with clinical data management concepts
Experience in CDISC and ADaM standards
Experience ensuring process compliance and deliverable quality
Strategic thinking - ability to turn strategy into tactical activities; design of statistical databases with the end in mind that optimize analysis and reporting and leverage departmental standards and industry best-practices
Ability to anticipate stakeholder requirements

Benefits

Comp & perks

medical, dental, vision healthcare
other insurance benefits (for employee and family)
retirement benefits, including 401(k)
paid holidays
vacation
compassionate and sick days