MedTech Systems Implementation Lead & PM

Johnson & Johnson Innovation

Raritan (NJ)

Hybrid

USD 109,000 - 175,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
Vacation – 120 hours per year
Parental Leave – 480 hours per year
Sick time – 40 hours per year

Job summary

Johnson & Johnson MedTech is hiring a Systems Implementation Lead & Project Manager in Raritan, NJ. You will drive data science projects within Ethicon R&D Advanced Evaluation, delivering data-driven insights and automated solutions to accelerate regulatory decisions.

You will lead cross-functional teams, manage external vendors, and ensure compliance with Part 11/data integrity while mentoring junior staff and advancing DS initiatives across multiple labs.

Qualifications

  • Bachelor’s degree in a quantitative field (engineering, AI, CS, statistics, biostatistics, math) is required.
  • 5+ years supporting GxP computerized systems in regulated environments (pharma/med device).
  • Experience with both Agile and waterfall project management is required.

Responsibilities

  • Lead data aggregation and reporting across R&D, ensuring traceability from concept to publication.
  • Direct cross-functional teams and manage external vendors to deliver high-impact DS projects.
  • Develop automated data solutions to support testing and regulatory decisions across labs.
  • Mentor junior data scientists and promote best practices in a data-driven culture.

Skills

Data science leadership
GxP compliance
Agile project management
Cross-functional collaboration

Education

Bachelor’s degree in quantitative field
Master’s degree preferred

Tools

SAP Product Lifecycle Management
Scripting Languages

Job description

Johnson & Johnson MedTech is hiring a Systems Implementation Lead & Project Manager in Raritan, NJ. You will drive data science projects within Ethicon R&D Advanced Evaluation, delivering data-driven insights and automated solutions to accelerate regulatory decisions.

You will lead cross-functional teams, manage external vendors, and ensure compliance with Part 11/data integrity while mentoring junior staff and advancing DS initiatives across multiple labs.

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