C&SP Methodology Lead — Innovation & Automation

Johnson & Johnson Innovative Medicine

Raritan (NJ)

On-site

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Johnson & Johnson is seeking a Principal C&SP Methodology Lead to drive technical strategy in clinical and statistical programming. You will lead automation initiatives, mentor staff, and collaborate across Data Management, Biostatistics, IT and R&D teams.

The role requires extensive programming experience (SAS, R, Python) and knowledge of GxP regulatory guidelines. You will manage projects, develop innovative tools, and advance data science within the Therapeutic Area.

Qualifications

  • Bachelor’s degree or equivalent in computer science, mathematics, data science/analytics, public health or other relevant field preferred or equivalent depth.
  • 6-8 years of programming experience with increasing responsibility.
  • Experience in software development and testing (SAS Macros tools, R functions/packages).
  • Experts in developing applications using SAS, R and/or Python.
  • Knowledge of industry standards and regulatory guidelines (ICH-GCP, 21 CFR Part 11).
  • Demonstrated ability to translate complex problems into clear programming solutions.

Responsibilities

  • Provide technical project leadership in Clinical and Statistical Programming.
  • Identify innovation, automation and continuous improvement opportunities.
  • Oversee work allocation of team members when needed.
  • Lead departmental innovation and process improvement projects.
  • Develop technical solutions to support automation and quality across the department.
  • Collaborate with multiple functions to achieve project goals.

Skills

Advanced Analytics
Biostatistics
Program Management
Leadership
Data Privacy

Education

Bachelor's degree or equivalent

Tools

SAS
R
Python

Job description

Johnson & Johnson is seeking a Principal C&SP Methodology Lead to drive technical strategy in clinical and statistical programming. You will lead automation initiatives, mentor staff, and collaborate across Data Management, Biostatistics, IT and R&D teams.

The role requires extensive programming experience (SAS, R, Python) and knowledge of GxP regulatory guidelines. You will manage projects, develop innovative tools, and advance data science within the Therapeutic Area.

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