Senior C&SP Methodology & Automation Lead

8542-Actelion Pharmaceuticals Ltd Legal Entity; Allschwil; Vor Ort; CHF 180.000 - 240.000; Vollzeit

Zusammenfassung

Johnson & Johnson in Allschwil, Switzerland seeks a Principal C&SP Methodology Lead with strong programming expertise in SAS, R and Python. The role drives technical strategy and develops innovative solutions across data management, central monitoring and regulatory submissions.

You will lead projects, mentor staff, and collaborate with multiple departments to advance data science initiatives while adhering to GCP and privacy standards.

Qualifikationen

• Bachelor’s degree in computer science, mathematics, data science/analytics or related field preferred.
• 6–8 years of programming experience with increasing responsibility.
• Experience in SAS Macros, R functions/packages, and Python.
• Ability to translate complex problems into clear programming code/tools.
• Knowledge of industry standards (CDISC/SDTM/ADaM) is a plus.

Aufgaben

• Provide technical project leadership and expertise for Clinical/Statistical Programming.
• Collaborate with stakeholders to identify innovation and automation opportunities.
• Develop and implement technical solutions to improve automation and quality.
• Oversee work allocation and coaching of team members.
• Lead departmental innovation and improve processes across projects.

Kenntnisse

Biostatistics

SAS programming

Python

R programming

Data privacy

GCP (Good Clinical Practice)

Problem solving

Communication

Ausbildung

Bachelor’s degree in computer science, mathematics, data science/analytics or related field

Tools

SAS Macros

R functions/packages

Python

Jobbeschreibung

Johnson & Johnson in Allschwil, Switzerland seeks a Principal C&SP Methodology Lead with strong programming expertise in SAS, R and Python. The role drives technical strategy and develops innovative solutions across data management, central monitoring and regulatory submissions.

You will lead projects, mentor staff, and collaborate with multiple departments to advance data science initiatives while adhering to GCP and privacy standards.