Kacper Pizon

Clinical Data Scientist @Dexcom

Edinburgh, GB

As a Clinical Data Scientist at Dexcom, I apply advanced statistical analysis, predictive modeling, and machine learning techniques to generate actionable insights that drive the development of innovative diabetes management solutions. My expertise lies in analyzing and interpreting large-scale datasets, from individual to population levels, to inform product development, digital services, and business strategy.Key responsibilities include:Querying, cleaning, and transforming raw data into analysis-ready datasets using SQL and distributed computing platforms.Leveraging programming languages such as Python, R, and tools like RStudio to develop robust analytical models, statistical inferences, and data products.Collaborating cross-functionally with marketing, product development, customer experience, and market access teams to design data-driven solutions that align with strategic business goals.Developing and validating trend models and conducting rigorous health economic impact analyses to influence healthcare policy and access strategies.Translating complex business requirements into precise scientific hypotheses and delivering data-driven insights to guide decision-making.Employing data visualization techniques and software to communicate findings in a compelling and accessible manner to both technical and non-technical stakeholders.Supporting external research collaborations by performing statistical analyses on clinical trial data, ensuring high-quality results that meet regulatory and scientific standards.Continuously advancing personalized user experiences through the development of explainable AI algorithms, particularly for regulated medical devices.In this role, I combine deep technical expertise in data science and statistical methodologies with a strong understanding of healthcare economics and patient-centered outcomes, contributing to Dexcom\'s mission to transform diabetes care.