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Medical Data Science Lead
I am a Data & Statistical Scientist Lead in the Medical Evidence & Data Science Unit at Roche France. With an engineering background at the intersection of life sciences and statistics, I specialize in data strategy and advanced analytics, spanning both biostatistics and machine learning. I have published research on algorithms for credible subgroup discovery, disease phenotyping (clustering), cross-country outcome transportability, and the robustness of indirect treatment comparisons. My current work focuses on real-world evidence in oncology and the development of innovative clinical research methodologies.
Université Rennes 2
Master's degree, Statistiques appliquées
January 1, 2013 – January 1, 2014
L'Institut Agro Rennes-Angers
Ingénieur, Biologie, environnement et agronomie, général
January 1, 2011 – January 1, 2014
Jean-Baptiste Say
Classes préparatoires
January 1, 2009 – January 1, 2011
Roche
Data Science & BioStatistics Lead - Medical Evidence & Data Science Unit
February 1, 2021 – Present
Quinten
Lead Health Data Scientist
September 1, 2018 – February 1, 2021
Quinten
Senior Data Scientist - Statistic & Machine learning
September 1, 2016 – September 1, 2018
Quinten
Data scientist
September 1, 2014 – August 1, 2016
INSERM
Ingénieur Statisticien (SFE)
March 1, 2014 – August 1, 2014
Région de Paris, France
Cyril Esnault
January 1, 2014 – Present
Comparaisons de méthodes de pénalisation dans le cadre d'études d'association pangénomique (GWAS) Identifier les meilleures méthodes de détection des variants génétiques (SNPs) associés à une maladie (ex sur la Maladie de Crohn) * Simulation de profils génétiques (phénotype/génotype) par modèles logistiques * Modèles avec pénalisations innovantes (sPLS-DA, Sparse-groupe-LASSO, ...), ...
Cultural Fit Analysis
The candidate has a strong background in health data science, which aligns well with roles in the biomedical or pharmaceutical industry. The project descriptions and work history show a consistent focus on applying data science to real-world health problems. However, the project diversity outside of the health domain is limited, which might be a consideration for roles requiring broader industry exposure. The progression through roles at Quinten from Data Scientist to Lead Health Data Scientist demonstrates commitment and growth within an organization.
Soft Skills & Operational Fit
The candidate's experience descriptions highlight leadership, mentorship, and strategic involvement (e.g., 'Member of the Executive Committee', 'Expertise stratégie data & machine learning'). This suggests strong soft skills in leadership, communication, and strategic thinking, which are crucial for senior roles. The focus on R&D activities and innovative methodologies indicates a proactive and growth-oriented mindset.