RWE Data Scientist

Sanofi
Barcelona, Spain
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 94K

Job location

Barcelona, Spain

Tech stack

Data analysis
Data Mining
Graph Database
Machine Learning
Data Streaming
Text Mining
Deep Learning
Information Technology

Job description

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 needs
  • Create 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, imaging;
  • Adoption of emerging technology into an analytical framework: distributed analytics, graph databases

People:

  • Act as a subject matter expert in machine learning, statistical and/or modelling working on team projects
  • Work with internal and external study lead to execute Advance Analytics projects and studies

Performance:

  • Implement and execute computational and statistical methodologies in Advanced Analytics for RWE
  • Provide expertise and execute advanced analytics for solving problems across R&D, Medical Affairs, HEVA and Market Access Strategies and Plans

Process:

  • 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 company
  • Plan and deploy methodological standards, standardized processes, demos, and POCs for the company's highest priority business needs
  • Contribute to the design, development, and implementation of Sanofi's data science architecture and ecosystem to guide decision-making and building foundational capabilities

Requirements

Education: PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience; 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), Better is out there. Better medications, better outcomes, better science. But progress doesn't happen without people - people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let's be those people.

About the company

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?, At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, ability or gender identity. Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com! The salary range for this position is :€70.800,00 - €94.400

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