Data Scientist R&D Lead

Job Requisition ID: R2767398
Data Scientist R&D Lead HybridFull timeAbout the job At Sanofi, we're committed to providing the next-gen healthcare that patients and customers need. It's about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before.
The Global Innovation Centre is 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?
We are looking for a data scientist that can lead the application of machine learning models in the pharma R&D domain.
The ideal data scientist joining our team will have experience applying machine learning algorithms to biomedical and clinical data. He/She will develop algorithms to enrich and complement the experimental results conducted by our R&D teams and will help build standard pipelines and tools to be used across the company by our research teams.
The Data 4 New Technologies team is focused on developing methods to get value out of new life-sciences data sources. As such, the job will potentially work with diverse datasets like digital biomarkers, IoT medical devices, imaging data, amongst other biomedical datasets.
We are looking for individuals ready to challenge the status quo to ensure development and impact of Sanofi's AI solutions for developing the drugs and improving the clinical trials that will benefit the patients of tomorrow. The ideal candidate will have a keen eye for improvement opportunities and a demonstrated ability to deliver AI/ML solutions while working across different technologies and in a cross-functional environment.
Main responsibilities: Apply data science expertise in machine learning, deep learning, statistics, text-mining/NLP, forecasting and optimization to multiple biomedical analytics projectsBuild models, algorithms, simulations, and experiments by writing highly optimized code and using state-of-the-art machine learning technologiesDesign and implement algorithms to generate insights and visualizations derived from Digital Biomarkers experiments. Use open-sources and state-of-the-art scripts and libraries to complement and enrich biomedical datasets.Work on full-spectrum of activities, from conducting ML experiments to delivering production-ready modelsUse data analysis, visualization, storytelling, and data technologies to scope, define and deliver AI-based data productsWork closely with product owners, developers, engineers, and MLOps to deliver AI/ML solutionsAdhere to and promote best practices and standards for data science process (including documentation) and code developmentsRemain up to date with industry practices and emerging technologies such as generative AI and test creative ways of offering AI solutions to enhance existing solutionsMentor and coach junior data scientists and internsAbout you Experience developing methods for analyzing biomedical dataHands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/MLExpertise within most of the following areas: supervised learning, unsupervised learning, deep learning, reinforcement learning, time series analysis, Bayesian statistics, signal processing.Experience creating and deploying code libraries using functions, classes in Python in AI product-focused development under an agile environmentExcellent written and verbal communication, business analysis, data visualization and data storytelling skillsA demonstrated ability to work and collaborate in an interdisciplinary team environmentStrong interest in the use of ML methods in the life and medical sciences to improve patient livesExpertise with core data science languages (such as Python, R), and familiarity with different database systems (e.g. SQL, NoSQL)Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark)Soft and technical skills: PhD in computational biology, computer science, mathematics, physics, statistics or a related quantitative discipline with strong coding skills with 2+ years of analytical experience, OR Master's Degree in relevant domain with 6+ years of analytical experience4 years of experience working on the development of methods related to life sciences, biomedical data or chemical engineeringExpertise with core data science languages (predominantly with Python, and nice to have R), experience working with database systems (such as SQL, NoSQL)Experience developing deployable code and deploying models in product-focused development under an agile environmentExperience working in cloud-based environment such as AWS or GCP or Azure and using cloud-technologies for building AI-solutionsKnowledge of commonly used DS visualization frameworks and libraries like streamlit, Plotly, Shinny, etcKnowledge of git/version control systemsDisciplined AI/ML development (CI/CD, Orchestration)Familiarity with ML model serving through enterprise-level Application Programming Interfaces (APIs)Experience with various enterprise-level Application Programming Interfaces (APIs)Languages: Fluent in English (Other languages a plus)
Why choose us? Bring the miracles of science to life alongside a supportive, future-focused team.Discover endless opportunities to grow your talent and drive your career, whether it's through a promotion or lateral move, at home or internationally.Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact.Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs and at least 14 weeks' gender-neutral parental leave.Contribute to a company that is not only a leader in healthcare but also a pioneer in digital transformation, shaping the future of global health.Work on Global programs in a truly International and multi-cultural environment.Work with highly qualified teams using state-of-the-art technologies to shape the future of Sanofi.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. You can be one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let's pursue progress. And let's 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, or gender identity.

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