Senior Quality Data Engineer — Post‑Market Analytics

Medical Engineering Consultants (MEC); Arden Hills (MN); On-site; USD 90,000 - 140,000; Full time

Job summary

Medical Engineering Consultants (MEC) in Arden Hills, MN, is seeking a senior specialist to develop and improve post-market surveillance and complaint trending methodologies to support product quality, patient safety, and regulatory compliance.

You will partner with Quality, Regulatory, Clinical Engineering, and Risk Management to provide data-driven insights, build analytical tools and dashboards, and advance predictive analytics and SPC applications across the product lifecycle.

Qualifications

• Education: Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, Analytics or related field.
• Experience: 8+ years in advanced analytics tool development or post‑market surveillance in a regulated industry.

Responsibilities

• Perform complaint monitoring and statistical trending to identify product quality and patient safety concerns.
• Conduct signal assessments and present findings to cross-functional teams.
• Develop and improve complaint monitors aligned with risk management docs.
• Create Power BI dashboards and analytical tools for post-market surveillance.
• Apply SPC techniques to evaluate product performance and trends.
• Collaborate with Risk Management to ensure surveillance aligns with product risks.
• Support audits and continuous improvement initiatives.

Skills

Advanced analytics

Statistical modeling

Post-market surveillance

Education

Bachelor's degree in Statistics/Mathematics/Computer Science/Engineering/Data Science/Analytics

Job description

Medical Engineering Consultants (MEC) in Arden Hills, MN, is seeking a senior specialist to develop and improve post-market surveillance and complaint trending methodologies to support product quality, patient safety, and regulatory compliance.

You will partner with Quality, Regulatory, Clinical Engineering, and Risk Management to provide data-driven insights, build analytical tools and dashboards, and advance predictive analytics and SPC applications across the product lifecycle.