Treatment Process Quality (TPQ) Engineer

Role Summary

As an individual contributor, the Treatment Process Quality (TPQ) Engineer (IC6) plays a critical role in ensuring the consistent quality, accuracy, and effectiveness of treatment plans through rigorous data-driven quality engineering practices. This position requires a highly professional, proactive, and results-oriented individual with a strong sense of urgency and the ability to independently drive initiatives to completion.

The TPQ Engineer is responsible for regularly reviewing and analyzing Key Performance Indicators (KPIs), identifying trends, risks, and improvement opportunities, and translating data insights into clear, actionable plans. The role is central to the design, implementation, and oversight of quality control processes, ensuring treatment plans consistently meet established clinical, operational, and regulatory standards.

This professional is expected to take ownership of identified issues, rapidly define corrective and preventive actions, and ensure timely execution and follow-up. Success in this role requires exceptional professionalism, strong prioritization skills, and the ability to operate effectively in a fast-paced environment with shifting business needs.

In addition, the TPQ Engineer actively collaborates with Production, Clinical Hub, Clinical Services, and Engineering teams, providing data-based recommendations that improve business outcomes, enhance customer experience, and systematically elevate the quality of treatment plans.

This position is ideal for a quality engineering professional with solid foundational experience who is ready to operate at a higher level of independence, influence, and accountability.

Role Expectations

• Support higher-level contributors (L7/L8) by performing advanced technical and non-technical tasks from an internal customer perspective, including data analysis, reporting, and action plan development.
• Mentor and coach lower-level contributors (L4/L5), promoting technical development, accountability, and a strong quality mindset.
• Monitor, analyze, and interpret KPI behavior and trends, leading complex KPI analyses with minimal supervision and driving data-based insights.
• Facilitate structured working groups to investigate and resolve unexpected KPI behavior or data inconsistencies in a timely and effective manner.
• Develop, generate, and maintain KPI dashboards, manufacturability reports, clinical outcome analyses, and predictive models to support proactive decision-making.
• Propose, implement, monitor, and verify CAPAs, continuous improvement initiatives, and inspection/investigation methods through effective closure and sustainability.