Principal Process Development Engineer - Data Analytics

Dexcom•San Diego, CA

1d•Hybrid

About The Position

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. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health. We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us. 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, a team that leads 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 across R&D, Quality, Regulatory, Supply Chain, and Manufacturing, gaining broad exposure across the full product lifecycle from advance tech development through commercialization. You will partner with programs and project teams to analyze complex data sets, design and interpret sophisticated Designs of Experiments (DOEs), and drive statistically rigorous conclusions that inform critical technical and business decisions. Your work will directly support engineers and project teams in the creation of robust protocols and final reports across the whole of the product lifecycle from advanced development, technology transfer, scaling, and on-market support. This includes characterization studies, validations for products and equipment, and root cause investigations, enabling fast, defensible, data-driven paths forward in a highly regulated environment. 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, ensuring seamless progression, timely feedback, and optimization, while fostering teamwork and accountability. 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. This includes performing advanced statistical analyses supporting 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.

Requirements

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 your strong statistical intuition, paired with practical engineering judgment, to move quickly while maintaining analytical rigor. You are comfort challenging assumptions using data with a proven ability to influence 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. bring clarity in ambiguity and driving decisions that integrate business strategy with technical depth.
You stay abreast of advancing technologies and processes, and the competitive landscape, 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. This includes offering recommendations for technology and process solutions to enhance performance and achieve both short-term and long-term objectives.
You engage in an environment of personal and team accountability, in a way that is conducive the development and growth of the team through mentoring and coaching.
PhD or MS in Statistics, Engineering, Applied Mathematics, Data Science, or related field (PhD Preferred).
Extensive experience applying advanced analytics in regulated manufacturing environments. Strong experience 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, advanced statistical analysis and modeling. Experienced in design and analysis of complex, multi-factor DOEs.
Versed in a range of data analysis tools such as SPC, process capability, regression, ANOVA, and multivariate methods, measurement system analysis (MSA). Proficiency with Python, R, SQL, JMP, Minitab, or equivalent tools.
Typically requires a Bachelor’s degree in a technical discipline, and a minimum of 15+ years related experience or a Master’s degree and 10+ years equivalent industry experience or a PhD and 7+ years of experience.

Responsibilities

Support a range of programs from new product introductions and launches to scale up, on-market, and end of life management.
Lead collaborative efforts and directing data collection and analysis activities, ensuring seamless progression, timely feedback, and optimization, while fostering teamwork and accountability.
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.
Design, execute, and interpret complex DOEs for product, process, and equipment studies.
Perform advanced statistical analyses supporting validation, capability, and reliability assessments.
Lead data-driven root cause investigations and translate findings into clear recommendations, ensuring analyses meet GMP, ISO 13485, and FDA QSR expectations.
Play a lead role in technology transfer programs spanning process design, validation, and analytical method transfer in device/diagnostic cGMP, FDA, and ISO environments.
Mentor engineers on statistical thinking and experimental rigor.

Benefits

A front row seat to life changing CGM technology.
Learn about our brave #dexcomwarriors community.
A full and comprehensive benefits program.
Access to career development through in-house learning programs and/or qualified tuition reimbursement.
An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.

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