QA Engineer

Staff QA Engineer - Chemistry Focus

Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: to forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. We are broadening our vision beyond diabetes to empower people to take control of health, providing personalized, actionable insights aimed at solving important health challenges, and improving human health.

Join us in empowering people to take control of their health! You will join a collaborative team at the heart of Dexcom’s products. Our quality engineering team plays a crucial role in cross‑site and cross‑functional alignment for the future of Dexcom and for the future of health. You will support Dexcom in launching state‑of‑the‑art innovative technology and will help define, support, and improve the processes that get us there.

• You offer expertise in chemistry, polymers/polymer manufacturing, scale‑up, and/or analytical test method validation, including but not limited to GPC, HPLC, FTIR.
• You apply your hands‑on experience with high‑volume manufacturing in medical device, biosensor, or similarly regulated industry and are seen as a quality leader, performing strategic work with minimal direction needed from management.
• You provide leadership and technical guidance for strengthening of and adherence to the Quality Management System (Failure Model Effects Analysis (FMEA), qualification and validation requirements, CAPAs, NCMRs, Process Controls).
• You lead multi‑level, cross‑functional, and international cross‑site alignment on complex scientific topics and provide direction with strong critical thinking and excellent personal and communication skills.
• You create strong partnerships with R&D, Regulatory Affairs, Customer Advocacy, Process Engineering, Manufacturing, Equipment Engineering, Maintenance teams and more.
• You apply your expertise in risk‑based decision‑making to manage Risk/Impact assessments during various phases of design controls (use of novel materials, change control, validation, monitoring plans, sampling plans, sample size, non‑conformances), providing solutions that align with risk.
• You support root‑cause analysis, six sigma, structured problem solving, Test Method Validation (including but not limited to Gage R&R), software validation, process capability measurement (Cpk), lean manufacturing, and statistical analysis.
• You take initiative to drive identification, assessment, and corrections/corrective actions/preventive actions for compliance and procedural gaps.

• Your Chemical Engineering, Chemistry, or similar degree from an accredited college/university and your expertise in biosensors, chemistry, and polymers, and complex analytical methods as they relate to manufacturing and material/process characterization.
• Your familiarity with Medical Device, Pharmaceutical and/or Combination Product requirements, e.g. 21 CFR 4, 10, 11, and 820, USP, ISO 13485, EU MDR.
• Your Six Sigma, Lean manufacturing, and/or sustaining experience supporting process characterization, and improvements.
• Your expertise with quality engineering tools for statistical data analysis, sampling plan development, sample size determination, AQL, confidence intervals, etc.; statistical software (e.g. JMP) experience and Six Sigma green belt certification(s) preferred.
• Your competency in Root Cause Analysis and Structured Problem Solving to help resolve process inefficiencies.
• Your passion to improve systems and processes that increase product safety, consistency, and conformance to requirements.
• Your inquisitive, investigative, detailed approach and agility to be “in the weeds” technically while being an effective part of the QA strategic team.
• Your proficiency in communicating technical information in a clear and concise manner, driving understanding and consensus.
• Your skill interpreting and assessing sources of variation for complex measurement methods using MSA/ANOVAs and statistical data analysis from process validation/monitoring.

• A front‑row seat to…