RWE Data Scientist

Sanofi; Hyderabad; On-site; INR 2,500,000 - 3,800,000; Full time

Job summary

Sanofi in Hyderabad seeks a Real-World Evidence Data Scientist to drive analytics using advanced ML/AI methods. You will collaborate with multiple internal teams to address key RWE questions and deliver insights from diverse data sources, including EHRs and claims.

The role emphasizes leadership in quantitative analytics, strong communication, and a track record of applying data science to pharmaceutical evidence generation. This is a permanent, full-time position based in Hyderabad.

Qualifications

• PhD in quantitative field with 6 years of industry or academic experience.
• Master’s Degree with 10 years of related industry or academic experience.
• Strong oral and written communication skills; English proficiency.

Responsibilities

• Provide leadership in machine learning and AI for RWE analytics.
• Collaborate with study leads across Sanofi to run analytics projects.
• Apply computational and statistical methodologies to extract insights and support decision-making across RWE.

Skills

Machine learning

Statistics

Data science

NLP

Data mining

Communication

Education

PhD in quantitative field

Master’s Degree

Tools

NLP

Graph databases

Job description

Job title: Real-World Evidence Data Scientist Grade: NA Hiring Manager: Group Lead – RWE Analytics & Evidence Generation, SBO Location: Hyderabad, % of travel expected: Travel required as per business need Job type: Permanent and Full time

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 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 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)

Pursue progress, discover extraordinary 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. 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 ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.com!

Equal Opportunity Statement

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!

We are an R&D driven, AI‑powered biopharma company committed to improving people’s lives and creating compelling growth. Our team is guided by one purpose: we chase the miracles of science to improve people’s lives. We want to build a healthier, more resilient world, and turn the impossible into the possible by discovering, developing, and delivering medicines and vaccines for millions of people around the world. Discover more about us visiting www.sanofi.com or via our movie We are Sanofi Start a career that makes a difference. Reinvention is in our DNA. It’s what drove our evolution from a small French enterprise to one of the world’s leading biopharma companies. Whether it’s using AI to shorten drug‑discovery times or building trust in healthcare, you could be helping our teams make life better for patients, partners, and communities. This is where you grow your career. We open the door for you to explore new opportunities, push your limits, and connect with people who are driven by a shared purpose: we chase the miracles of science to improve people’s lives.