Full-Time
Accelerator
Data & AI Engineering, Paris
Updated on 8/19/2026
Sanofi
10,001+ employees
Global pharma company; vaccines and R&D
Compensation Overview
€64k - €85.3k/yr
Paris, France
Hybrid
Three days on-site and two days from home per week.
Master's
 AI & Machine Learning (1) |
|---|
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- A Master's degree or equivalent in Computer Science, Engineering, or a relevant field is required.
- Experience designing and implementing data pipelines and data warehouse solutions in cloud environments is required.
- Hands-on experience with data modeling, ETL/ELT processes, and pipeline orchestration in production settings is required.
- Experience translating business needs into technical solutions within cross-functional teams is required.
- Experience working with quality, regulatory, data privacy, GxP, and cybersecurity requirements is required.
- Strong proficiency in SQL and data warehousing platforms is required.
- Hands-on experience with ETL tools such as IICS or equivalent, data transformation tools, and Python for data processing is required.
- Strong experience with cloud platforms is required.
- Advanced knowledge of CI/CD practices, version control with Git, and infrastructure as code principles is required.
- Experience designing and implementing engineering patterns and technical standards is required.
- Knowledge of logging and monitoring tools such as Datadog and Grafana is required.
- Familiarity with containerization using Docker is required.
- Collaborative problem-solving, initiative, and communication skills for working with technical and business stakeholders are required.
- AI-assisted engineering is expected across coding, code review, documentation, and operations.
- Design and implement end-to-end data pipelines and platform components that transform raw data into valuable insights in scalable and reliable cloud environments.
- Develop and optimize data models with a focus on query performance and efficient workloads.
- Collaborate with cross-functional teams to translate business requirements into technical solutions and define interface contracts between data products and applications.
- Ensure data quality, standardization, observability, and governance across systems in alignment with industry compliance standards and data privacy requirements.
- Automate data ingestion processes and monitoring systems to track operational KPIs, troubleshoot issues, and maintain pipeline health.
- Build and maintain ETL processes and machine learning workflows that provide clean AI-ready data for downstream applications.
- Drive MLOps and AIOps practices, including model deployment pipelines, model performance monitoring, and reproducibility of machine learning experiments in production environments.
- Promote transversal data engineering best practices, including design patterns, CI/CD integrations, containerized deployments, peer code review, and technical documentation standards.
- Mentor team members and contribute to the team's technical growth through knowledge sharing and guidance.
- Experience in the healthcare industry is a strong plus.
- Relevant cloud certifications in AWS, Snowflake, or IICS are a plus.
- Snowflake, dbt, AWS, Airflow, GitHub Actions, Terraform, and Kubernetes/Openshift are preferred where indicated.
Sanofi is a global pharmaceutical and biotechnology company that develops, manufactures, and sells prescription medicines, over-the-counter products, and vaccines. Its products span immunology, oncology, rare diseases, and vaccines, addressing unmet medical needs through a strong focus on research and development. Sanofi's core product model relies on large-scale R&D, strategic partnerships, and licensing to bring new therapies to markets, with revenue generated from product sales and collaborations. The company differentiates itself by leveraging its global reach, diverse portfolio, and emphasis on patient-centric solutions, safety, and quality to navigate regulatory environments in developed and emerging markets. The company’s goal is to improve health outcomes and quality of life for people worldwide by delivering innovative treatments and vaccines that meet unmet medical needs.
Company Size
10,001+
Company Stage
IPO
Headquarters
Paris, France
Founded
1973
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Simplify's Take
What believers are saying
- Q2 2026 sales rose 17.8%; Dupixent topped €5.2 billion for the quarter.
- July 30 upgraded 2026 guidance to around 10% sales growth, with higher EPS.
- August 4 MenQuadfi infant approval widens vaccine reach; Nexviazyme's June phase 3 readout strengthens pipeline.
What critics are saying
- Dupixent faces tougher H2 2026 comparisons, threatening growth after the €5.2 billion quarter.
- Cenrifki carries liver injury risk; strict monitoring can slow adoption and invite liability.
- Dupixent concentration and Regeneron's November 2024 lawsuit threaten Sanofi's core growth engine.
What makes Sanofi unique
- Dupixent and partnered launch engine generate repeatable immunology cash flows across geographies.
- Sanofi converted 2026 approvals for Sarclisa Escena, Wayrilz, and Cenrifki into launches.
- Paulo Fontoura's September 1 R&D mandate centralizes translational science and regulatory execution.
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Benefits
Health Insurance
Professional Development Budget
Parental Leave
Company News
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The US Food and Drug Administration has approved Sanofi's subcutaneous Sarclisa Escena for treating multiple myeloma, making it the first anticancer treatment administered through an on-body injector. The therapy uses Enable Injections' CirCLIQ device, which delivers the drug automatically with a retractable 30g needle. The approval was supported by the IRAKLIA phase 3 study, which demonstrated that Sarclisa Escena delivered via the on-body injector provided similar efficacy and safety compared to intravenous infusion, with significantly shorter treatment time and fewer infusion-related reactions. The study showed a 71.1% objective response rate in patients with relapsed or refractory multiple myeloma. More than 70,000 patients worldwide have been treated with Sarclisa-based regimens. The on-body injector aims to reduce physical burden on healthcare providers whilst offering patients greater convenience during treatment.
Sanofi has appointed Paulo Fontoura as Executive Vice President and Global Head of Research & Development Pharma, effective 1 September. Based in Paris, Fontoura will oversee the company's innovation engine, spanning research, translational medicine, clinical development, and regulatory affairs. He succeeds Dr Houman Ashrafian, who is leaving to pursue new opportunities. Fontoura brings over 25 years of experience across academic medicine, translational science, and pharmaceutical innovation. The appointment comes as Sanofi drives an R&D transformation whilst progressing its pipeline across multiple therapeutic areas. Separately, MacroGenics confirmed it will receive $24.5 million in regulatory milestone payments from Sanofi following FDA accelerated approval of TZIELD to delay decline in endogenous insulin production in children. Sanofi is a global biopharmaceutical company focusing on immunology, rare diseases, and oncology.