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Clinical Outcomes Solutions

Principal Statistical Programmer

Clinical Outcomes Solutions

. Work independently on clinical development programs across different therapeutic areas .

Posted 10/2/2026full-timeRemote • United States, CanadaLeadWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in SAS programming and statistical programming procedures tailored to clinical development, with a strong understanding of CDISC standards and FDA regulations. Capable of independently managing clinical development programs and collaborating effectively with cross-functional teams.

Highest-signal resume keywords
SAS ProgrammingCDISC StandardsStatistical Programming ProceduresRegulatory SubmissionsClinical Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical ProgrammingData AnalysisDataset GenerationComplex ListingsInferential StatisticsGraph DevelopmentData ValidationProgramming StandardsCRF DevelopmentData Transfer Specifications
Soft Skills
LeadershipCommunicationIndependenceCollaborationProblem-Solving
Tools & Technologies
RPythonJavaShinyMarkdownUnix/LinuxGit
Industry Keywords
BiotechPharmaClinical TrialsFDA RegulationsICH RegulationsMedical Device DevelopmentIntervention StudiesBiometrics TeamPharmacokinetic DataNeuroscience

Tech Stack

Tools & technologies
JavaLinuxPythonUnix

About the role

Key responsibilities & impact
  • Work independently on clinical development programs across different therapeutic areas
  • Generate SDTM and ADaM specifications, datasets, reviewer’s guides, and Define.xml files for multiple studies
  • Develop SAS and/or R programs producing datasets, complex listings, tables, descriptive and standard inferential statistics, and complex graphs
  • Develop, validate, and maintain statistical programming programs tailored to clinical development needs
  • Oversee CRO statistical programming deliverables for multiple clinical studies
  • Support clinical study reports, regulatory submissions, publications, annual DSURs, and exploratory analyses
  • Follow FDA regulations, good clinical practice, and electronic-submission guidelines for clinical trial data reporting
  • Create, maintain, document, and validate standards for programming tools, outputs, and macros
  • Participate in developing CRFs, edit check specifications, and data validation plans
  • Review and/or author data transfer specifications for external vendor data
  • Collaborate with CROs, software vendors, clinical development partners, and internal functions to meet project timelines and goals
  • Review and/or author SOPs and work instructions related to statistical programming practices
  • Provide expert technical support to team members and track progress

Requirements

What you’ll need
  • At a minimum bachelor’s degree in computer science, data science, mathematics, or statistics major preferred
  • 7+ years of experience as a Statistical Programmer on a Biotech/Pharma Clinical Development Biometrics Team or with a similar team
  • Experience supporting drug development, medical device development, or intervention studies
  • Exceptional SAS programming skills and expertise in developing and implementing statistical programming procedures and processes in a clinical development environment
  • Extensive applied experience with CDISC standards (SDTM, ADaM, and Define.xml), medical terminology, clinical trial methodologies, and FDA/ICH regulations
  • Experience supporting regulatory submissions and interacting with the FDA and/or global regulatory authorities
  • Ability to work independently
  • Outstanding written and verbal communication skills and strong leadership skills
  • Preferred: prior experience with pharmacokinetic data and neuroscience
  • Preferred: proficiency in R, Python, Java, Shiny, Markdown, Unix/Linux, and git

Benefits

Comp & perks
  • Consistent training, development and support
  • Significant professional growth opportunities