The Company 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 and unlock information and insights that drive better health outcomes. 25 years later, we have pioneered the industry and are now broadening our vision beyond diabetes to empower people to take control of health with personalized, actionable insights aimed at solving important health challenges. Our goal remains to improve human health.
Meet The Team
We are seeking a Principal Data Analytics Engineer to serve as a technical authority for advanced data analysis in support of engineering, manufacturing, and quality initiatives across high-volume medical device programs.
You will be part of the Global Engineering team within Operations, leading end‑to‑end technical oversight across external suppliers, contract manufacturers, and specialized automation partners for our wet chemistries, electronics, and hardware systems. You will collaborate closely with R&D, Quality, Regulatory, Supply Chain, and Manufacturing, gaining broad exposure across the full product lifecycle from advanced tech development through commercialization.
Where You Come In
- You will support a range of programs from new product introductions and launches to scale up, on‑market, and end‑of‑life management, leading collaborative efforts and directing data collection and analysis activities.
- You will partner with engineering, manufacturing, and quality teams as a principal‑level analytics expert, analyzing large, complex data sets to drive robust and rapid decision‑making.
- You will design, execute, and interpret complex DOEs for product, process, and equipment studies, performing advanced statistical analyses that support validation, capability, and reliability assessments.
- You will lead data‑driven root‑cause investigations and translate findings into clear recommendations, ensuring analyses meet GMP, ISO 13485, and FDA QSR expectations.
- You will play a lead role in technology transfer programs spanning process design, validation, and analytical method transfer in device/diagnostic cGMP, FDA, and ISO environments.
- You will mentor engineers on statistical thinking and experimental rigor.
What Makes You Successful
- You are a recognized subject‑matter expert in advanced data analytics methods for complex systems and their application to high‑volume, highly regulated medical device/diagnostics manufacturing.
- You can leverage strong statistical intuition paired with practical engineering judgment to move quickly while maintaining analytical rigor, challenging assumptions with data and influencing decisions through evidence‑based analysis.
- You are able to communicate complex analytical results clearly to technical and executive audiences.
- You have a track record of cross‑functional influence, from executive‑level communication to coaching engineers, bringing clarity to ambiguity and driving decisions that integrate business strategy with technical depth.
- You stay abreast of advancing technologies and processes, proactively seeking out opportunities for implementation.
- You will closely engage with cross‑functional partners in manufacturing, R&D, supply chain, and quality assurance.
- You drive innovation in approach, processes, and methodologies while ensuring adherence to company, customer, and industry requirements and specifications, offering recommendations for technology and process solutions to enhance performance and achieve short‑term and long‑term objectives.
- You engage in an environment of personal and team accountability, fostering development and growth through mentoring and coaching.
Key Competencies
- PhD or MS in Statistics, Engineering, Applied Mathematics, Data Science, or related field (PhD Preferred).
- Extensive experience applying advanced analytics in regulated manufacturing environments and supporting high‑volume medical device manufacturing.
- Proficiency with Six Sigma/Lean, statistical tools, and manufacturing execution documentation (pFMEA, control plans, sampling plans).
- Deep understanding of validation principles and data integrity,…