Senior Quality & Reliability 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.
What We’re Looking For
Typically:
Typically:
Education
- Bachelor’s degree in Engineering, Statistics, Data Science, Business Analytics, or a related field.
- Master’s degree is a plus.
Experience & Development
- 3–6 years of directly related experience in quality engineering, data analysis, continuous improvement, engineering, or similar roles.
- Experience using data to identify trends, drive root cause investigations, and support business decision-making is strongly preferred.
Languages
- Professional proficiency in English (written and spoken).
Soft Skills
- High level of professionalism, ownership, and accountability in all interactions and deliverables.
- Strong sense of urgency with the ability to prioritize, execute, and follow through in a dynamic environment.
- Excellent documentation, communication, and presentation skills.
- Exceptional attention to detail and commitment to data accuracy.
- Ability to translate complex data sets into clear, actionable insights for diverse audiences.
- Results-driven mindset focused on measurable improvements in quality and efficiency.
- Advanced analytical thinking and structured problem-solving skills.
- Ability to work independently while maintaining strong collaboration across teams and organizational levels.
- Confidence interacting with all levels of the organization and proactively escalating issues when appropriate.
- Continuous improvement mindset with a passion for identifying and implementing best practices.
- Flexibility and adaptability in response to changing priorities and business needs.
Technical Proficiency
- Advanced proficiency in standard office tools: Excel (Advanced), Word, PowerPoint, Outlook, Teams.
- Experience working with large datasets and data visualization tools such as Power BI, Tableau, Looker, or similar platforms.
- Experience querying, transforming, and analyzing data using SQL, Python, R, or similar analytical tools is highly preferred.
- Strong ability to perform exploratory data analysis, identify patterns and anomalies, and translate findings into actionable business recommendations.
- Experience developing trend analyses, forecasting models, predictive analytics, or other data-driven approaches to proactively identify risks and opportunities.
- Foundational knowledge of predictive modeling and data science concepts (data science certifications are a plus).