Sanofi

About the Company

We are Sanofi, an innovative global healthcare company. We chase the miracles of science to improve people’s lives.

Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Interactions with this account must comply with the Terms: https://bit.ly/sanofi-terms

Listed Jobs

Company Name

Sanofi

Job Title

Accelerator Data & AI Engineering (Lyon)

Job Description

**Job Title** Accelerator Data & AI Engineer **Role Summary** Design, build, and maintain cloud‑based data pipelines and data warehouse solutions to enable AI and digital manufacturing initiatives. Deliver scalable, reliable data ingestion, transformation, and quality controls while collaborating with cross‑functional teams to translate business requirements into technical solutions. **Expectations** - Deploy and optimise data engineering solutions in a production environment. - Ensure data integrity, governance, and performance across end‑to‑end workflows. - Advocate and implement best practices for CI/CD, containerisation, and infrastructure as code. **Key Responsibilities** - Design, develop, and document scalable ETL/ELT pipelines using cloud services. - Build and tune data models and query performance in data warehousing platforms. - Implement data quality checks, governance standards, and monitoring dashboards for operational KPIs. - Create and maintain automated data ingestion processes and monitoring systems. - Integrate machine learning workflows, providing AI‑ready datasets. - Apply CI/CD pipelines, containerised deployments, and code/technical documentation reviews. **Required Skills** *Technical* - SQL proficiency and experience with data warehousing (Snowflake preferred). - Hands‑on ETL/ELT tools (IICS or equivalent), data transformation (dbt preferred). - Python for data processing. - Cloud platform expertise (AWS preferred); orchestration with Airflow preferred. - CI/CD (GitHub Actions preferred), Git version control, infrastructure as code (Terraform preferred). *Soft* - Collaborative mindset, strong problem‑solving skills. - Self‑motivated, initiative‑driven in a fast‑paced setting. - Clear communication with technical and non‑technical stakeholders. **Required Education & Certifications** - Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). - Relevant professional certifications (e.g., Snowflake, AWS, Terraform, dbt) are a plus. **Languages** - English (mandatory).

Lyon, France

On site

22-12-2025

Company Name

Sanofi

Job Title

Staff Software Engineer

Job Description

Job Title: Staff Software Engineer Role Summary: Senior-level engineer responsible for designing, building, and scaling cloud‑native software solutions that accelerate drug‑development workflows. Leads technical strategy, mentors peers, and champions engineering best practices across cross‑functional R&D teams. Expectations: - Own end‑to‑end delivery of high‑impact projects, ensuring quality, scalability, and timely release. - Drive architectural decisions, promote reusable patterns, and maintain technical standards. - Mentor senior engineers, contribute to talent development, and foster an inclusive, high‑performance culture. Key Responsibilities: - Design and implement robust microservice APIs in JavaScript/Node.js with a focus on performance, security, and observability. - Build and maintain infrastructure using IaC tools (Terraform, AWS CDK, or equivalent) on AWS, GCP, or Azure. - Establish CI/CD pipelines, DevOps practices, and continuous integration workflows. - Collaborate with product, science, and data teams to refine requirements and remove bottlenecks. - Advocate for engineering excellence, driving adoption of coding standards, automated testing, and monitoring. - Identify organizational leverage points that unlock productivity gains and present actionable solutions. Required Skills: - 8+ years of software engineering experience (or equivalent). - Proficiency in JavaScript/Node.js and microservices architecture. - Experience with at least one major cloud provider (AWS, GCP, Azure). - Hands‑on with Infrastructure as Code (Terraform, AWS CDK, etc.). - Strong CI/CD, DevOps, and cloud‑security fundamentals. - Excellent written and spoken English communication. - Leadership mindset: mentoring, collaborative problem solving, and driving alignment across teams. Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field (equivalent experience acceptable). - Relevant cloud or DevOps certifications (e.g., AWS Certified Developer, GCP Professional Cloud Architect) preferred but not mandatory.

Paris, France

On site

25-12-2025

Company Name

Sanofi

Job Title

mRNA Systems Engineering - Vaccine Summer - Fall 2026 Co-op

Job Description

**Job Title** mRNA Systems Engineering – Vaccine Co‑op **Role Summary** A 6‑month full‑time co‑op focused on developing and maintaining software solutions that accelerate the design and screening of mRNA sequences and vaccine components. The role supports R&D at the mRNA Center of Excellence by building pipelines, managing a centralized repository of machine learning models, and ensuring best‑practice software engineering practices are applied across the team. **Expectations** - Work 40 hrs per week, Monday‑Friday, relocating to the office for the full duration. - Enrolled in a bachelor’s or master’s program with graduation expected by Spring 2027. - Permanently authorized to work in the U.S. (no future sponsorship required). - Engage with cross‑functional stakeholders and train users as needed. **Key Responsibilities** - Collaborate on active codebases and adhere to industry‑standard engineering practices. - Design and implement data pipelines and applications for mRNA sequence screening and vaccine component design. - Maintain and upgrade a central repository of machine learning models and modular code components. - Participate in CI/CD workflows to automate build, test, and deployment processes. - Use containerization tools (Docker/Kubernetes) to support scalable, reproducible development environments. - Produce clear documentation, assist in user training, and support troubleshooting. **Required Skills** - Proficiency in Python (core application). - Familiarity with CI/CD, Docker, Kubernetes, and other containerization platforms. - Strong attention to detail and excellent written & verbal communication. - Ability to quickly understand a new codebase and contribute effectively. - Knowledge of machine learning model lifecycle (training, validation, deployment). - Curiosity and enthusiasm for learning beyond day‑to‑day tasks. **Required Education & Certifications** - Current enrollment in an accredited bachelor’s or master’s degree program in Computer Science, Data Science, Bioinformatics, or a closely related field. - Expected to complete the degree by Spring 2027. - No professional certifications required; relevant coursework in software engineering, data science, or bioinformatics is preferred.

Waltham, United states

On site

31-12-2025

Company Name

Sanofi

Job Title

Sr Data and AI Engineer

Job Description

Job Title: Sr Data and AI Engineer Role Summary: Lead end‑to‑end design, development, and delivery of scalable data pipelines, datamarts and AI workflows for enterprise‑scale healthcare operations. Manage a small engineering team, enforce DataOps/MLOps best practices, and integrate GenAI and agentic systems into production. Expectations: - Deliver robust, compliant data solutions within regulated healthcare context. - Mentor junior engineers and drive technical excellence. - Seamlessly translate business requirements into technical artifacts. Key Responsibilities: - Design, build, and optimize Snowflake data marts, pipelines, and models using DBT, Airflow, Python. - Implement CI/CD pipelines (GitHub Actions), infrastructure (Terraform on AWS). - Enforce DataOps/MLOps standards: version control, testing, observability, lineage, reproducibility. - Integrate GenAI, Retrieval‑Augmented Generation, and agentic AI components into AI Workflow platform. - Collaborate with product, data architecture, and AI engineering stakeholders. - Ensure data quality, security, privacy, and compliance across environments. Required Skills: - 5+ years data engineering leadership experience. - Proficiency with Snowflake, Airflow, DBT, Python, SQL, AWS, Terraform, GitHub Actions. - Experience building enterprise‑scale data pipelines, datamarts, and models. - Strong knowledge of DataOps/MLOps, CI/CD, observability, lineage, and reproducibility. - Familiarity with GenAI, RAG, and agentic AI integration. - Excellent written and verbal communication, leadership, mentorship, collaboration. - Ability to work in regulated environments (data privacy, compliance, cybersecurity). Required Education & Certifications: - Bachelor’s degree in Computer Science, Engineering, or related field. - Certifications in AWS, Snowflake, or Data Engineering/Learning platforms are a plus. ---

Toronto, Canada

Hybrid

Mid level

06-01-2026