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Senior Statistical Programmer – FSP
Clinical Outcomes SolutionsSenior Statistical Programmer working fully embedded within a pharmaceutical client. Leveraging advanced SAS skills to support Phase I-IV clinical trials with a global impact.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in SAS Programming for clinical trial data manipulation, analysis, and reporting, with a strong understanding of Efficacy analysis and CDISC SDTM/ADaM standards. Proven ability to lead projects, communicate effectively with cross-functional teams, and deliver high-quality outputs under tight deadlines.
Highest-signal resume keywords
SAS ProgrammingEfficacy AnalysisCDISC SDTM/ADaM StandardsQC/Validation SkillsAd-Hoc Reporting
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Data ManipulationData AnalysisClinical Trial ReportingSDTM DatasetsADaM DatasetsTables, Listings, and Figures (TLFs)Submission DocumentsDefine.xmlAnalytical SkillsTroubleshooting Skills
Soft Skills
Team PlayerAdaptabilityFlexibilityCommunication SkillsProject Management
Industry Keywords
Pharmaceutical IndustryBiotech IndustryDrug Development Life CycleImmunology StudiesRespiratory StudiesOncology Studies
About the role
Key responsibilities & impact- Performing data manipulation, analysis and reporting of clinical trial data, both safety and efficacy (ISS/ISE), 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
- Performing lead duties when called upon
- 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 immunology, respiratory or oncology 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- We believe in applying scientific rigor to reveal the full promise inherent in data.
- We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.
- We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
- We prize innovation and seek intelligent solutions using leading-edge technology.