Grünenthal Group

Senior Statistical Analyst (m/f/d)

Grünenthal Group WorkFromHome

Stellenbeschreibung:

Join to apply for the Senior Statistical Analyst (m/f/d) role at Grünenthal Group .

This is a Professional | Permanent | Full-time | Hybrid position.

If you’re passionate about changing lives for the better, this is the opportunity you’ve been waiting for. In Research & Development , we explore innovative treatment options to make a positive impact on patients’ lives. You will work with talented colleagues in a state-of-the-art environment, developing medicines that improve patient outcomes and help us achieve a world free of pain.

Job Responsibilities

  • Develop and maintain SDTMs, ADaMs, tables, figures, and listings (TFL)
  • Review programming documents such as SAPs, mock TFLs, and specifications
  • Develop, document, validate, and maintain SAS programs/macros for study requests
  • Participate in validation programming and QC activities of analysis outputs from external providers
  • Support development of data repositories and pooling of multiple studies for data mining
  • Develop data visualization and exploration tools, as well as programs for modeling and simulation activities

Qualifications

  • Bachelor’s or Master’s Degree in Computer Science, Mathematics, Statistics, or related field
  • At least 5 years of SAS programming experience in clinical studies within the pharmaceutical industry, including experience with datasets and CDISC standards
  • Proficiency in SAS; knowledge of R or Python is a plus
  • Understanding of statistical methods used in pharmaceutical trials
  • Experience with CDISC standards and knowledge of ICH-GCP and related legislation
  • Experience collaborating with external service providers in a highly outsourced environment

Additional Information

  • Seniority level: Associate
  • Employment type: Full-time
  • Job function: Research, Science, and Healthcare Provider
  • Industries: Pharmaceutical Manufacturing, Healthcare, Biotechnology

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Stelleninformationen

  • Typ:

    Vollzeit
  • Arbeitsmodell:

    Vor Ort
  • Kategorie:

  • Erfahrung:

    2+ years
  • Arbeitsverhältnis:

    Angestellt
  • Veröffentlichungsdatum:

    04 Nov 2025
  • Standort:

    WorkFromHome

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