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Accelerator Digital Lead Data Scientist - Job Opportunity at Sanofi EU

Paris, France
Full-time
Senior
Posted: August 19, 2025
Hybrid
EUR 90,000-120,000 annually based on senior-level data science leadership role in Paris pharmaceutical market, with potential for additional performance bonuses and equity participation in a Fortune 500 healthcare company

Benefits

Hybrid work arrangement with 2 days remote and 3 days on-site, providing optimal work-life balance in a competitive market where full remote positions are increasingly rare
Comprehensive health and wellbeing benefits including high-quality healthcare coverage that exceeds standard European healthcare provisions
Prevention and wellness programs demonstrating proactive employee health investment beyond typical corporate offerings
Gender-neutral parental leave of at least 14 weeks, significantly above French statutory minimums and reflecting progressive family support policies
Thoughtful rewards package designed to recognize contribution and amplify impact, suggesting performance-based compensation structures
International career mobility opportunities within a global healthcare leader spanning multiple continents
Access to world-class team collaboration in cutting-edge digital transformation initiatives
Professional development opportunities in a pioneer digital healthcare transformation environment

Key Responsibilities

Define strategic data science acceleration frameworks for Sanofi's digital products portfolio, directly influencing patient journey optimization and intervention effectiveness across global healthcare markets
Lead external partnership development and relationship management with real-world data providers, establishing critical data asset acquisition strategies that drive competitive advantage
Architect and deliver AI-based data products using advanced analytics, visualization, and storytelling techniques to optimize R&D processes and accelerate time-to-market for pharmaceutical innovations
Manage complex multi-modal data integration including unstructured data, omics, wearable devices, voice recordings, imaging data, electronic health records, and social media analytics to create comprehensive patient insights
Develop and deploy production-ready interactive visualizations, web applications, predictive algorithms, and APIs that directly impact business outcomes and patient care delivery
Build and optimize state-of-the-art machine learning models, algorithms, and simulations using highly optimized, deployable code for enterprise-scale healthcare applications
Lead team development and training initiatives, building organizational data science capabilities and establishing best practices for data analysis and interpretation across cross-functional teams

Requirements

Education

Master's Degree in mathematics, computer science, engineering, physics, statistics, economics, computational sciences or a related quantitative discipline OR PhD + 3 years of with relevant work & domain experience

Experience

Experience developing deployable code and deploying models in product-focused development under an agile environment with excellent management and articulation of a team of Data Scientists

Required Skills

Expertise with core data science languages (such as Python, R, Scala) Familiarity with different database systems (e.g. SQL, NoSQL) Expertise with sensitive data in critical environments (healthcare, defense) Expertise within most of the following areas: supervised learning, unsupervised learning, deep learning, LLMs, reinforcement learning, federated learning, time series forecasting, Bayesian statistics, optimization Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark) Hands-on AI/ML modeling experience of complex datasets combined with strong understanding of theoretical foundations of AI/ML (CI/CD, Orchestration) Knowledge of Tableau, Power BI, Plotly or similar Experience with various enterprise-level Application Programming Interfaces (APIs) Experience with database mining, big data, and large-scale virtual screening using Bayesian Optimization or Gaussian Processes Good knowledge of AI regulations Experience working with multiple teams to drive alignment and results Excellent business analysis, data visualization and data storytelling skills English language proficiency
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Sauge AI Market Intelligence

Industry Trends

The pharmaceutical industry is experiencing unprecedented digital transformation, with AI and machine learning becoming critical differentiators in drug discovery and development processes. Companies are investing billions in digital capabilities to reduce the traditional 10-15 year drug development timeline and improve patient outcomes through personalized medicine approaches. Real-world data integration and patient journey optimization have emerged as key competitive advantages, with healthcare companies increasingly leveraging wearable devices, electronic health records, and social media analytics to develop more effective interventions and accelerate clinical trial processes. Regulatory frameworks around AI in healthcare are rapidly evolving, with new guidelines from FDA, EMA, and other global regulators requiring sophisticated understanding of AI governance, model validation, and ethical AI deployment in clinical settings. The convergence of omics data, digital biomarkers, and traditional clinical data is creating new opportunities for precision medicine, driving demand for data scientists who can integrate complex multi-modal datasets and translate insights into actionable clinical strategies.

Role Significance

Likely managing 5-8 direct reports including data scientists, ML engineers, and analytics specialists, with dotted-line influence over 15-20 cross-functional team members across R&D, product development, and external partnerships.
Senior leadership position with significant strategic influence over Sanofi's AI/ML product development pipeline and external partnership strategies. This role combines individual contributor excellence with team leadership responsibilities and direct impact on company-wide digital transformation initiatives.

Key Projects

Development of AI-powered drug discovery platforms integrating multi-omics data with clinical trial outcomes Real-world evidence generation systems leveraging wearable device data and electronic health records for post-market surveillance Patient journey optimization algorithms using natural language processing and predictive analytics to improve treatment adherence and outcomes Federated learning implementations across global clinical trial networks to accelerate drug development while maintaining data privacy

Success Factors

Deep understanding of pharmaceutical R&D processes combined with cutting-edge AI/ML technical expertise enables translation of complex scientific problems into scalable digital solutions Strong stakeholder management and communication skills essential for navigating complex healthcare regulatory environment and building consensus across diverse scientific and business teams Proven ability to work with sensitive healthcare data under strict regulatory compliance requirements while maintaining innovation pace and technical excellence Strategic thinking and business acumen required to identify high-impact use cases for AI/ML applications that deliver measurable patient outcomes and commercial value Leadership capabilities in building and developing high-performing data science teams in fast-paced, agile environments with competing priorities and tight deadlines

Market Demand

Very High - Digital transformation in pharmaceutical industry combined with AI regulation expertise and healthcare domain knowledge creates exceptional market demand for this specialized skill combination

Important Skills

Critical Skills

Python/R/Scala expertise is fundamental for implementing production-ready AI/ML solutions in healthcare environments, with emphasis on code optimization, deployment, and maintenance in regulated pharmaceutical settings where model reliability and reproducibility are essential for regulatory approval Deep learning and LLM expertise has become increasingly critical as pharmaceutical companies leverage these technologies for drug discovery, clinical trial optimization, and patient engagement, requiring understanding of both technical implementation and healthcare-specific applications Healthcare data expertise including experience with sensitive data in critical environments is essential for navigating complex regulatory requirements, patient privacy concerns, and clinical data standards that are unique to pharmaceutical industry Cloud and high-performance computing skills using AWS, GCP, and Databricks are crucial for handling the massive datasets common in pharmaceutical R&D, from genomics data to global clinical trial information AI regulation knowledge is becoming indispensable as regulatory bodies worldwide implement new guidelines for AI in healthcare, requiring deep understanding of validation requirements, bias detection, and ethical AI deployment

Beneficial Skills

Federated learning expertise provides significant competitive advantage for pharmaceutical applications where data sharing across institutions is limited by privacy regulations, enabling collaborative research while maintaining data security Bayesian optimization and Gaussian processes offer sophisticated approaches to drug discovery and clinical trial design, allowing for more efficient exploration of chemical space and patient stratification strategies Time series forecasting capabilities are valuable for predicting patient outcomes, drug safety signals, and market dynamics in pharmaceutical business applications Reinforcement learning knowledge enables development of personalized treatment recommendation systems and adaptive clinical trial designs that can improve patient outcomes and reduce development costs Enterprise API experience facilitates integration with existing pharmaceutical systems and enables development of scalable data products that can be deployed across global operations

Unique Aspects

Rare opportunity to work at the intersection of cutting-edge AI/ML technology and life-saving pharmaceutical innovation, directly impacting global patient outcomes through digital transformation initiatives
Access to world-class multi-modal healthcare datasets including omics, wearable devices, electronic health records, and social media data that few organizations can provide at this scale and complexity
Strategic role in shaping AI regulation compliance and best practices within the pharmaceutical industry, positioning for thought leadership in healthcare AI governance
Direct engagement with external data partners and real-world evidence providers, building valuable industry relationships and market intelligence capabilities
Opportunity to work within Sanofi's Accelerator R&D Team, representing the company's most innovative and forward-thinking division focused on next-generation healthcare solutions

Career Growth

3-5 years to executive leadership roles given the specialized healthcare AI expertise and team leadership experience gained in this position

Potential Next Roles

Chief Data Officer or VP of Data Science within pharmaceutical or healthcare technology companies Head of Digital Transformation for R&D divisions at major pharmaceutical companies Senior Director roles at healthcare AI startups or technology companies focused on pharmaceutical applications Consulting leadership positions specializing in healthcare AI transformation at top-tier management consulting firms

Company Overview

Sanofi EU

Sanofi is a multinational pharmaceutical company headquartered in France, ranking among the world's top 5 pharmaceutical companies by revenue with approximately EUR 37 billion in annual sales. The company operates across vaccines, rare diseases, general medicines, and consumer healthcare segments with a strong focus on digital transformation and AI-driven drug discovery.

Global pharmaceutical leader with significant market presence in Europe, North America, and emerging markets, competing directly with Pfizer, Novartis, Roche, and Johnson & Johnson in key therapeutic areas including diabetes, oncology, and immunology.
This Paris-based role represents a strategic position within Sanofi's European headquarters, providing access to the company's core R&D operations and direct influence over global digital transformation initiatives across 100+ countries of operation.
Sanofi maintains a collaborative, science-driven culture with strong emphasis on patient-centric innovation, diversity and inclusion, and sustainable business practices. The hybrid work model and comprehensive benefits reflect a progressive approach to talent retention in competitive pharmaceutical market.
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