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(senior) biostatistician for clinical algorithms (madrid)

Madrid
Roche
Publicada el 8 enero
Descripción

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 Your Department

We are a general team of 100+ biostatisticians and data scientists united by the ambition to advance diagnostic assays and elevate their use in clinical practice. Located across Roche Diagnostics sites in Penzberg, Mannheim, Indianapolis, and Sant Cugat del Vallès, our mission is to provide robust quantitative methods for all stages of the product lifecycle—from early research to market registration. By combining our statistical expertise with a profound understanding of the clinical questions at hand, we extract actionable information from data and deliver customer‑tailored insights.

Your Team

Our team thrives on creating innovative solutions for both novel and traditional challenges in data analysis. We are heavily involved in early biomarker discovery projects, aiming to identify new biomarkers and develop clinical algorithms that solve unmet medical needs. To achieve our goals, we leverage data from clinical trials as well as real‑world data. Collaboration is at our core;
we work in close partnership with colleagues across clinical science, clinical operations, business, and assay development.

Your Main Objectives and Tasks
* Conduct exploratory data analysis of clinical data and develop clinical algorithms by applying state‑of‑the‑art statistical and machine learning methods
* Perform statistical analysis for clinical studies and real world data, generate analysis reports, and present findings to stakeholders
* Analyze data from biomarker discovery experiments using multivariate an
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