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Senior Statistical Programmer

2 months ago

Reading, Reading, United Kingdom IQVIA Argentina Full time

About the Role:

IQVIA Argentina is seeking a highly skilled Senior Statistical Programmer to join our team. As a key member of our Statistical Programming department, you will play a critical role in developing process methodology and providing technical expertise to meet the needs of our internal and external clients.

Key Responsibilities:

  1. Programming and Development: Plan, coordinate, and implement the programming, testing, and documentation of statistical programs for use in creating statistical tables, figures, and listings. This includes the programming of analysis datasets (derived datasets) and transfer files for internal and external clients.
  2. Quality Control: Perform quality control checks for the source data and report data issues periodically.
  3. Project Management: Interpret project-level requirements and develop programming specifications as needed. Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to the Statistical Programming team.
  4. Team Leadership: Fulfill project responsibilities at the level of technical team lead for single complex studies or groups of studies. Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines.
  5. Resource Management: Estimate programming scope of work, manage resource assignments, communicate project status, and negotiate/re-negotiate project timelines for deliverables.
  6. Training and Mentoring: Provide training and mentoring to Statistical Programming team members.

Requirements:

  1. 5+ years of Statistical Programming experience within the Life Science industry.
  2. BSc or MSc degree in Biostatistics or a related field.
  3. Experience in SAS Base, and good knowledge of SAS graph and SAS Macros.
  4. Ability to implement more advanced statistical procedures as per specifications provided by Biostatisticians.
  5. Excellent knowledge of CDISC standards (SDTM and ADaM).
  6. Thorough understanding of relational database components and theory.
  7. Excellent application development skills.
  8. Strong understanding of clinical trial data and hands-on experience in data manipulations, analysis, and reporting of analysis results.
  9. Ability to work on multiple projects, plan, organize, and prioritize activities.
  10. Experience as a technical team lead directly engaging clients and coordinating tasks within a programming team.
  11. In-depth knowledge of applicable clinical research regulatory requirements, i.e., Good Clinical Practice (GCP) and International Conference on Harmonization (ICH) guidelines.