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Senior Statistical Programmer – FSP
Clinical Outcomes SolutionsSenior Statistical Programmer at Cytel leveraging SAS skills for global pharmaceutical clients. Supporting Phase I-IV clinical trials with a focus on oncology and efficacy analysis.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support clinical trials, with a strong focus on data manipulation, analysis, and reporting. Capable of generating and validating datasets and submission documents while effectively collaborating with cross-functional teams.
Highest-signal resume keywords
Advanced SAS ProgrammingCDISC SDTM / ADaM StandardsData Manipulation and AnalysisQC / Validation SkillsEfficacy Analysis
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
SAS ProgrammingData ManipulationClinical Trial Data AnalysisEfficacy AnalysisQC / Validation ProgrammingAd-Hoc ReportingSDTM DatasetsADaM DatasetsSubmission DocumentsDefine.xml
Soft Skills
Analytical SkillsTroubleshooting SkillsTeam PlayerAdaptabilityFlexibility
Industry Keywords
Pharmaceutical IndustryBiotech IndustryClinical TrialsOncology StudiesImmunology StudiesDrug Development Life Cycle
About the role
Key responsibilities & impact- Leverage advanced SAS programming skills and proficiency in CDISC standards (SDTM & ADaM) to support or lead one or more Phase I-IV clinical trials.
- Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy, utilizing SAS programming
- Generating and validating SDTM and ADaM datasets/analysis files, and tables, listings, and figures (TLFs)
- Production and QC / validation programming
- Generating complex ad-hoc reports utilizing raw data
- Applying strong understanding/experience of Efficacy analysis
- Creating and reviewing submission documents and eCRTs
- Communicating with and/or responding to internal cross-functional teams and client for project specifications, status, issues or inquiries
- Serving as team player, with a willingness to go the extra distance to get results, meet deadlines, etc.
- Being adaptable and flexible when priorities change
Requirements
What you’ll need- Bachelor’s degree in one of the following fields Statistics, Computer Science, Mathematics, etc.
- At least 8 years of SAS programming working with clinical trial data in the Pharmaceutical & Biotech industry with a bachelor’s degree or equivalent. At least 6 years of related experience with a master’s degree or above.
- Study lead experience, preferably juggling multiple projects simultaneously preferred.
- Strong SAS data manipulation, analysis and reporting skills.
- Solid experience implementing the latest CDISC SDTM / ADaM standards.
- Strong QC / validation skills.
- Good ad-hoc reporting skills.
- Proficiency in Efficacy analysis.
- Familiarity with drug development life cycle and experience with the manipulation, analysis and reporting of clinical trials’ data.
- Submissions experience utilizing define.xml and other submission documents.
- Experience supporting oncology or immunology studies would be a plus.
- Excellent analytical & troubleshooting skills.
- Ability to provide quality output and deliverables, in adherence with challenging timelines.
- Ability to work effectively and successfully in a globally dispersed team environment with cross-cultural partners.
Benefits
Comp & perks- Consistent training, development and support.