Head of R&D Data Engineering

About Sanofi :

We are an innovative global healthcare company, driven by one purpose : 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.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data organization and adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

Our vision for digital, data analytics and AI

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions.

This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.

The Digital Team at Sanofi is a unique data-driven team. We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions.

We measure our insights and products based on how they preform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives.

When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.

If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi.

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means :

AI Factory - Versatile Teams Operating in Cross Functional Pods : Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

Leading Edge Tech Stack : Experience build products that will be deployed globally on a leading-edge tech stack.

World Class Mentorship and Training : Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

Location : The Sanofi Digital Team uses a hybrid working model combining remote and office-based work. The US Digital Hub offices will be located in Bridgewater / Morristown, NJ and Cambridge, MA.

Key Responsibilities :

Lead a team of data and software engineers to plan, design, execute and continuously improve Sanofi’s ambitions in R&D data products.

Keep pace with industry trends and pioneer new approaches within the data engineering space.

Collaborate with scientific and business and information technology leadership to influence the Data strategy and direction.

Present technical concepts to non-technical stakeholders.

Strategically plan and execute data engineering initiatives, including the development of data pipelines. Design a comprehensive data engineering roadmap and execute the vision behind it.

Lead technology execution of data engineering required to transform, harmonize data required for AI / analytics and build-out of re-useable aggregated data sets and APIs.

Leverage knowledge of data architecture to enhance data pipeline effectiveness.

Play a pivotal role in defining data engineering standards, driving innovation, and ensuring consistency across projects, adopting a Center of Excellence style approach.

Build and manage talent of a team of engineers across multiple geographies to apply to data product teams including establishing a scalable approach to manage scale flexibly across internal resources, technology hubs and external service providers

Oversee the movement of large data volumes into the organization’s data platform.

Develop new techniques and pipelines to extract valuable insights from data.

Empower data scientists and researchers with efficient access to high-quality data. Integrate multi-modal data sources (genomics, proteomics, imaging) into cohesive pipelines.

Address challenges related to data harmonization, normalization, and feature extraction. Adhere to regulatory guidelines (e.

g., HIPAA, GxP, GDPR) in handling sensitive data and implement robust data security measures.

Contribute to evolving an agile, product-based delivery model in conjunction with product line leaders and product owners to manage and prioritize product strategy and backlog of individual products and solutions focused on delivering business outcomes

Partner with Architecture CoE to enhance and ensure alignment with enterprise technology standards

Build networks of key stakeholders across architecture CoE, data scientists, digital product leads, enterprise technology platform teams and PMO leaders.

Foster a culture of continuous learning and development.

Select the optimal approaches among the different vendors for the different data types and work closely with them to customize their offering for our needs.

Key Requirements :

BS in computer science, software engineering or related area with at least 10+ years of experience in working on the development of data pipelines and data products.

Demonstrated ability to lead a team of data engineers in product based operating model in collaboration with digital product owners to plan and execute large scale data projects, with proficiency in data modeling.

Demonstrated knowledge of data consumption patterns, with a focus on Business Intelligence / Machine Learning / similar methods that rely on well-organized data.

Understanding of software development metholody lifecycle practices and documentation including GxP compliance policies and procedures.

Experience developing deployable code and data products and with deploying these under an agile work environment.

Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake?).

Demonstrated ability to work with leading data and database vendors with experience in determining optimal mix of what solutions to build, buy / configure.

Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.

Strong interest in the use of data in the life and medical sciences to improve patient lives.

Advanced degree (MS in computer science, engineering or a related technical discipline) with strong coding skills preferred.

Experience in leading a team focused on the organization, storage, retrieval and initial processing of high throughput large biological and clinical data.

Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL).

Familiarity with Omics data formats, digital pathology standards, Clinical / Regulatory / Safety Data and imaging data is advantageous.

Knowledge of bioinformatics tools and pipelines is advantageous.

The Fine Print : US Vaccine Mandate

US Vaccine Mandate

US EEO Statement

Sanofi Inc. and its U.S. affiliates are Equal Opportunity and Affirmative Action employers committed to a culturally diverse workforce.

• All qualified applicants will receive consideration for employment without regard to race; color; creed; religion; national origin;
• age; ancestry; nationality; marital, domestic partnership or civil union status; sex, gender, gender identity or expression;
• affectional or sexual orientation; disability; veteran or military status or liability for military status; domestic violence victim status;

atypical cellular or blood trait; genetic information (including the refusal to submit to genetic testing) or any other characteristic protected by law.

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Pursue , discover

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, ability or gender identity.

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