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Associate Director, Statistical Programming – Pharmacometrics

Job in Jersey City, Hudson County, New Jersey, 07390, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-13
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 135000 - 210000 USD Yearly USD 135000.00 210000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Provide timely support to the study team on all programming matters
  • Provides project leadership, resource planning/coordinating deliverables within project or across multiple projects
  • Lead programming support for processing/analyzing/storing data from clinical studies according to a Statistical Analysis Plan
  • Provide programming support for all PMX deliverable in HAR request, data driven analysis, publications, conference
  • Work in a multidisciplinary study team to provide timely and quality support for analysis and reporting of clinical trials up to regulatory approval, product launch and annual reports
Requirements
  • Master in Statistics, Computer Science, Mathematics, Engineering, Life Science or related discipline
  • 10+ years of programming experience preferably in processing clinical trial data in the biotechnology, pharmaceutical or health related industry
  • Expert SAS programming skills (SAS (Base, Stat, Macro, graph) in a clinical data environment
  • Understanding of relational database structure and reporting systems utilizing multiple data delivery applications
  • Strong Experience/knowledge with implementing standardization methodology, creation of current CDISC data standards
  • Comprehensive understanding of biostatistics, pharmaceutical clinical development (i.e. safety deliverables, efficacy analysis)
  • Experienced in data handling, process and analysis and able to understand/perform Pharmacokinetics, immunogenicity, exposure response analysis in timely manner
  • Mentor junior level staff in therapeutic area requirements
  • Develop collaborative work environment and be a positive role model.
  • Good Skilled in use of relevant software, including Window SAS, SAS studio (Base, Stat, Macro, graph), MS-Excel, R programming and/or Python.
  • Good knowledges in AI use case in statistical programming and data sciences.
Hard Skills
  • SAS programming
  • relational database structure
  • CDISC data standards
  • biostatistics
  • pharmaceutical clinical development
  • data handling
  • Pharmacokinetics
  • immunogenicity
  • exposure response analysis
  • statistical programming
Soft Skills
  • project leadership
  • resource planning
  • mentoring
  • collaboration
  • positive role model
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Position Requirements
10+ Years work experience
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