5 дней назад
System Implementation Lead & Project Manager, R&D - MedTech
109 000 - 174 800$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
System Implementation Lead & Project Manager, R&D - MedTech (Computer System Validation/Data Science): Leading GxP system implementation, validation, and data science projects for laboratory and quality processes with an accent on automated solutions, regulatory compliance, and cross-functional delivery. Focus on designing risk-based validation plans, managing SDLC test coverage and automation, assessing Part 11 controls, and delivering scalable AI-enabled insights.
Location: Raritan, New Jersey, United States; Flex/Hybrid schedule with 3 days per week on-site
Salary: $109,000–$174,800 per year
Company
Johnson & Johnson MedTech develops surgical technologies, medical devices, and data-driven solutions for less invasive and personalized treatments.
What you will do
- Lead R&D system implementation and project delivery from research questions and feasibility through study design, analysis, presentation, and publication.
- Partner with portfolio management, analytical evaluation, research science, data science, and external organizations in a matrix environment.
- Deliver scalable automated and artificial intelligence solutions that expand testing capacity and improve data collection and analysis.
- Develop data aggregation and reporting methodologies to identify trends across large datasets from LIMS, ERP, and other sources.
- Plan and execute risk-based Computer System Validation for GxP-relevant laboratory and quality systems.
- Lead validation testing, deviation investigations, non-conformances, CAPA activities, and Part 11 control assessments.
Requirements
- Bachelor’s degree in engineering, artificial intelligence, computer science, statistics, biostatistics, biomedical informatics, applied mathematics, or a similar quantitative field.
- 5+ years of experience supporting GxP computerized systems in a regulated environment, such as pharma, medical devices, biotech, or diagnostics.
- Working knowledge of 21 CFR Part 11 and ALCOA+ data integrity principles, including electronic records and signatures.
- Experience with Agile and waterfall project management, SDLC testing, requirements-to-test traceability, and test automation.
- Proven leadership of complex projects, cross-functional teams, and external vendors in a matrix organization.
- Strong information systems, communication, presentation, analytical, and mentoring skills; PPE may be required in laboratories.
Nice to have
- Master’s degree in a relevant quantitative or technical field.
- Experience with Model-Based Systems Engineering, SAP Product Lifecycle Management, software architectures, or scripting languages.
Culture & Benefits
- Work in a cross-functional R&D environment focused on surgical innovation and healthcare technology.
- Collaborate with data scientists, research scientists, technical partners, and external companies.
- Retirement pension and 401(k) savings plans are available under the applicable plans.
- Benefits include vacation, sick time, holidays, parental leave, caregiver leave, bereavement leave, volunteer leave, and military spouse time off.
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