RWE Data Scientist

Job title: Real-World Evidence Data Scientist

About the job

Our Team:

Sanofi Business Operations is an internal Sanofi resource organization based in India and is setup to centralize processes and activities to support Specialty Care, Vaccines, General Medicines, CHC, CMO, and R&D, Data & Digital functions. Sanofi Business Operations strives to be a strategic and functional partner for tactical deliveries to Medical, HEVA, and Commercial organizationsin Sanofi, Globally.

Main responsibilities:

The overall purpose and main responsibilities are listed below:

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: (1) Machine/Deep Learning to elucidate disease trajectories, patient subtypes, define underdiagnosed conditions, and unmet health needs; (2) 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); (3) Generating insights by merging diverse data streams e.g. health, surveillance, trend data, sensor, imaging; (4) Adoption of emerging technology into an analytical framework: distributed analytics, graph databases

People: (1) Act as a subject matter expert in machine learning, statistical and/or modelling working on team projects; (2) Work with internal and external study lead to execute Advance Analytics projects and studies.

Performance: (1) Implement and execute computational and statistical methodologies in Advanced Analytics for RWE; (2) Provide expertise and execute advanced analytics for solving problems across R&D, Medical Affairs, HEVA and Market Access Strategies and Plans

Process: (1) 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; (2) Plan and deploy methodological standards, standardized processes, demos, and POCs for the companys highest priority business needs; (3) Contribute to the design, development, and implementation of Sanofis data science architecture and ecosystem to guide decision-making and building foundational capabilities

About you

Education: PhD in quantitative field such as Statistics, Biostatistics, Applied Mathematics or related field with 6 years of industry or academic experience; Relevant Masters Degree, with 10 years of related industry or academic experience.

Pursue Progress, discover Extraordinary

Better is out there. Better medications, better outcomes, better science. But progress doesnt 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, lets be those people.

At Sanofi, we provide equal opportunities to all regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.

Watch our and check out our Diversity Equity and Inclusion actions at !

Pursue Progress. Discover Extraordinary.

Join Sanofi and step into a new era of science - where your growth can be just as transformative as the work we do. We invest in you to reach further, think faster, and do whats never-been-done-before. Youll help push boundaries, challenge convention, and build smarter solutions that reach the communities we serve. Ready to chase the miracles of science and improve peoples livesLets Pursue Progress and Discover Extraordinary together.

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status or other characteristics protected by law.

Watch and check out our Diversity Equity and Inclusion initiatives at

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