RWE Data Scientist

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 organizations in 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 company's highest priority business needs;
• (3) Contribute to the design, development, and implementation of Sanofi's 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 Mathematicsor 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)