Roche
Healthcare
SeniorDevelopmentEngineer/Mathematician/DataAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Development Engineer/ Mathematician/ Data Analyst at Roche. Skills: Algorithm development, Mathematical modeling, Statistical analysis, Data analysis. Develop and refine methods. Refine algorithms”
What You'll Achieve.
Diagnose earlier; Develop faster; Personalize treatment; Turn insights into impact; Realize DIA 10-year vision; Achieve One Roche ambitions; Ensure personalized healthcare access
Industry & Context.
Analytical thinker
No relocation assistance
What They're Looking For.
Must Have
Master's degree or higher in Engineering, Mathematics, Physics, or related quantitative field, 7+ years of professional industry related experience, Deep knowledge of system identification, Deep knowledge of model-based filtering, Deep knowledge of classic control methods, Deep knowledge of model-predictive control methods, Experience in modeling electrochemical sensors, Experience optimizing robust calibration methods, Highly proficient in modern statistical software, Exceptional data wrangling skills, Exceptional data visualization skills, Ability to translate complex mathematical results into clear, actionable insights, Fluent English
Nice to Have
MATLAB proficiency preferred, Experience with analytical performance guidelines (CLSI), Interest in analytical performance guidelines (CLSI)
What You'll Do.
Develop and refine methods
Extract reliable results
Drive projects from conception
Complete rigorous testing
Create mathematical models
Provide expert statistical consulting
Implement biometric methods
Ensure products meet requirements
Ensure products meet regulatory standards
Support global product launches
Develop statistical rationales
Develop customized solutions
Extract large datasets
Visualize large datasets
Present actionable insights
Own technical solutions
Provide rationale for product quality
Provide rationale for scientific integrity
How You'll Work.
Team & Collaboration
Interdisciplinary team; Interdisciplinary teams
Communication Scope
Translate complex results
Process & Methodology
Project management
Full Job Description
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. ### ### The Position **Who We Are** **At Roche Diagnostics Solutions (RDS)** , our mission is clear: to diagnose earlier, develop faster, and personalize treatment because every patient is unique. Within **Computational Science & Informatics (CSI)**, we are the bridge between our origin and our future, shaping the next era of human health through precise, data-driven diagnostics and precision medicine. We excel in delivering rigorous, clinically actionable data analysis across our diagnostics portfolio, believing that advancing computational methods and informatics solutions is essential to harnessing dynamic human health data. By listening closely to patients and physicians, and leveraging digitization and cutting-edge technologies, we work collaboratively to turn insights into impact. This shared spirit creates an environment where ideas grow, new approaches are trialed, and competitive products reach patients faster—ultimately realizing the DIA 10-year vision and our One Roche ambitions so that everyone can access personalized healthcare solutions. **The Opportunity** As a **Senior Development Engineer/ Mathematician/ Data Analyst** , you will be a vital part of our development team in Spain, focusing on our innovative Blood Gas & Electrolyte Analyzers. You will transform complex physical measurement data into precise, life-saving results through mathematical excellence. * **Robust Algorithms:** Develop and refine sophisticated methods, algorithms, and failsafes that extract highly reliable results from physica
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