Senior Development Engineer/ Mathematician/ Data Analyst

OverviewIn this role you apply mathematical rigor to turn complex measurement data into reliable, life-saving results within Roche Diagnostics Solutions.You collaborate across engineering, science, and regulatory domains to advance blood gas and electrolyte analyzers.You will develop algorithms, build models, and provide statistical support to drive product quality and regulatory-compliant clearance.The position offers impact on patient care through data-driven diagnostics and cross-functional teamwork.ResponsabilidadesDevelop and refine robust algorithms and validation methods to extract reliable results from physical measurement dataCreate mathematical models and provide expert statistical consulting (Design of Experiments and Validation) to support data-driven decisionsIncorporate biometric methods into specification documents to meet regulatory and health authority standardsSupport global product launches with solid statistical rationales and maintain product qualityExtract, clean, and visualize large datasets to present actionable insights for medical innovationServe as the technical expert and primary contact for quantitative solutions ensuring scientific integrityRequisitos principalesMaster’s degree or higher in Engineering, Mathematics, Physics, or related quantitative field7+ years of industry experienceDeep knowledge of control engineering, signal processing, system identification, model-based filtering, and (model-predictive) control methodsExperience modeling electrochemical sensors and robust calibration methodsProficiency in MATLAB (preferred), Python, R or JMP with strong data wrangling and visualization skillsCollaborative communicator capable of translating complex math to interdisciplinary teamsRegulatory minded with interest or experience in analytical performance guidelines (e.g., CLSI)Fluent EnglishAnalytical thinkerSolution-orientedCollaborativeControl engineeringSignal processingSystem identification

Requisitos principalesMaster’s degree or higher in Engineering, Mathematics, Physics, or related quantitative field 7+ years of industry experience Deep knowledge of control engineering, signal processing, system identification, model-based filtering, and (model-predictive) control methods Experience modeling electrochemical sensors and robust calibration methods Proficiency in MATLAB (preferred), Python, R or JMP with strong data wrangling and visualization skills Collaborative communicator capable of translating complex math to interdisciplinary teams Regulatory minded with interest or experience in analytical performance guidelines (e.g., CLSI) Fluent English Analytical thinker Solution-oriented Collaborative Control engineering Signal processing System identification