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Planet Pharma is seeking a project-focused engineer to drive MDR projects across multiple product lines at our Boulder Plant. You will manage schedules, budgets, and capital initiatives while ensuring quality and regulatory compliance for life-saving medical devices.
You will apply manufacturing engineering expertise and financial acumen to deliver cost savings, capacity expansion, and run-the-business projects, collaborating with R&D, Quality, Operations, and external partners.
Pay 40-47/h depending on experience
Top 3 technical skills that are required for the role:
1.Project Management
2.Manufacturing engineering experience in regulated environment (Medical Device preferred)
3.Financial / Business Acumen
Education Required:Bachelors degree in Engineering
Years’ Experience Required:2 years or advanced degree.
Will the contractor be working 40 hours a week? If not, weekly estimate? 40 hours / week
Does this position require the candidate to be onsite or remote, if hybrid what does the onsite vs remote schedule look like?Onsite, full time at the Boulder Plant
What is your timeline for scheduling interviews?ASAP
What product line will this person support?This person will support the MDR projects across all product lines, as well as other projects (including capital) as time permits.
In this role, you will support the PMO operations engineering team, driving projects and capital initiatives to run the business and deliver cost savings, while complying with quality and regulatory policies for components used in life?saving medical devices.
You will apply financial acumen and manufacturing engineering expertise to drive projects to completion, relying on influence, resilience, and strong cross?functional collaboration. You will need to work closely with R&D, Quality, Operations, Supply Chain, and external partners to ensure robust, compliant, and scalable manufacturing solutions.
Execute process and equipment validations through Installation Qualification, Operational Qualification and Process Qualification (IQ, OQ, PQ) using statistical analysis tools.