Rwe Data Scientist

Eacademy Sanofi
Madrid, Spain
7 days ago

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

Graph Database Machine Learning Data Streaming Deep Learning Information Technology

Job description

RWE Data Scientist Location: Barcelona, SpainAbout the job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do.Build a career and you can be part of transforming our business while helping to change millions of lives.Ready?As RWE Data Scientist you’ll provide a high level of expertise in employing cutting?edge analytical & computational approaches to drive evidence?based pharmaceutical product development; provide scientific and technical leadership in machine learning and AI; work closely with other disciplines across Sanofi including Business Units, Digital, R&D, Biostatistics, Information Technology Systems and other Data Science partners to deliver cutting?edge analysis to key business questions.Examples of Advanced Analytics activities:Machine/Deep Learning to elucidate disease trajectories, patient subtypes, define underdiagnosed conditions, and unmet health needsCreate a framework for generating re?usable models and insights across big?data (e.g. EHRs, claims) and rich small data sets (e.g. clinical trials, imaging)Generating insights by merging diverse data streams e.g. health, surveillance, trend data, sensor, imagingAdoption of emerging technology into an analytical framework: distributed analytics, graph databasesPeople:Act as a subject matter expert in machine learning, statistical and/or modelling working on team projectsWork with internal and external study lead to execute Advanced Analytics projects and studiesPerformance:Implement and execute computational and statistical methodologies in Advanced Analytics for RWEProvide expertise and execute advanced analytics for solving problems across R&D, Medical Affairs, HEVA and Market Access Strategies and PlansProcess:Apply a broad array of capabilities spanning machine learning, statistics, mathematics, modelling, simulation, text?mining/NLP, data?mining to extract insights and be able to communicate and champion these efforts across the companyPlan and deploy methodological standards, standardized processes, demos, and POCs for the company’s highest priority business needsContribute to the design, development, and implementation of Sanofi’s data science architecture and ecosystem to guide decision?making and building foundational capabilitiesAbout youEducation : PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience; or Relevant Master’s Degree, with 10 years of related industry or academic experience.Soft skills : Strong oral and written communication skills; ability to work and collaborate in a team environmentLanguages : Excellent knowledge of English language (spoken and written)#LI-Hybrid #BarcelonaHub #SanofiHubs#J-*****-Ljbffr

Requirements

Education : PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience; or Relevant Master’s Degree, with 10 years of related industry or academic experience. Soft skills : Strong oral and written communication skills; ability to work and collaborate in a team environment Languages : Excellent knowledge of English language (spoken and written) #LI-Hybrid #BarcelonaHub #SanofiHubs #J-*****-Ljbffr

About the company

About the job Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready?

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.buscojobs.com.es

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

1:25 min

Distinguishing artificial intelligence from deep learning

Sam Witteveen · Coffee With Developers

4:20 min

Structuring connected data using graph database architectural fundamentals

Martin O'hanlon · LIVE

1:50 min

Lowering pipeline latency with data streaming

Nathaniel Okenwa Nathaniel Okenwa · WWC 2024

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

2:17 min

Distinguishing between AI, machine learning, and deep learning

Mary Grygleski Mary Grygleski · LIVE

Videos

See all

Related articles

See all