Rwe Data Scientist - Sanofi

Sanofi
Barcelona, Spain
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
10 years minimum
Working hours
Regular working hours
Languages
English

Tech stack

Data Integration Data Mining Machine Learning Natural Language Processing Text Mining Deep Learning

Job description

OverviewAs an RWE Data Scientist at Sanofi, you apply cutting-edge analytics to support evidence-based pharmaceutical development.You will lead machine learning and AI initiatives and collaborate across R&D, Medical Affairs, HEVA, and Market Access to deliver impactful insights.You’ll build reusable modeling frameworks and integrate diverse data sources (EHRs, claims, trials, imaging) to answer key business questions.This role offers shaping advanced analytics at scale within a global biopharma context.Compensaciones / Beneficioshybrid workemployee benefit programsdiversity, equity & inclusion actionscompetitive compensationcareer development opportunitiesResponsabilidadesAct as a subject matter expert in machine learning and statistics on cross-functional projectsExecute advanced analytics projects across R&D, Medical Affairs, HEVA and Market AccessDevelop and deploy methodologies for machine learning, statistics, modelling, NLP/text-mining, and data-miningCreate reusable modeling frameworks and oversee data integration across large and small datasetsPlan and promote methodological standards, demos, and POCs for priority business needsContribute to Sanofi’s data science architecture and ecosystem to guide decision-makingRequisitos principalesPhD in quantitative field with 6 years of experience or relevant Master’s with 10 years of experienceStrong oral and written communication skillsExcellent English (spoken and written)strong communicationteam collaborationability to work across disciplinesmachine learning / deep learningstatistical modellingNLP / text-mining

Requirements

Requisitos principalesPhD in quantitative field with 6 years of experience or relevant Master’s with 10 years of experience Strong oral and written communication skills Excellent English (spoken and written) strong communication team collaboration ability to work across disciplines machine learning / deep learning statistical modelling NLP / text-mining

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