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Head of R and D Platform Engineering

Cambridge, Massachusetts
Morristown, New Jersey
Permanent Gepostet am   May. 28, 2025 Endet am   Aug. 22, 2025 Salary Range   USD 180,000.00 - 260,000.00
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Job Title: Head of R and D Platform Engineering

Location: Cambridge, MA, Morristown, NJ

About 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. Join our [Team Name] as [Job Title] and you can help make it happen

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. Join our R&D Data & AI Products and Platforms Team as Head of R&D Platform Engineering and you can help make it happen. 

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, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives. 

The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI/ML, advanced analytics, and operational analytics capabilities. 

As the Head of R&D Platform Engineering, you will be a leader on a dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work with data architects and engineers within an agile environment to drive and oversee the design, development, deployment and maintenance of scalable, efficient, and innovative platforms that enable teams to drive solutions and accelerate Data/AI Product development. This will include platforms that enable foundational scientific data management and compute processing capabilities at Sanofi are driven through Scientific Information processing Services (SIPS) and Scientific Workflow Engineering Lab (SWEL).  

Our vision for digital, data analytics and AI 

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 renown leaders and academics in machine learning to further develop your skillsets.

We are an innovative global healthcare company with one purpose: to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started? 

Main Responsibilities:

Platform Development and Delivery: 

  • Define and execute the vision and strategy for R&D platform engineering, aligning with broader R&D business objectives and data strategy needs 

  • Act as liaison between technical teams and R&D business stakeholders to ensure alignment and prioritization of platform initiatives 

  • Define, develop, and maintain product development roadmaps for the development of data platforms, including SIPS and SWEL 

  • Lead teams of engineers and architects through the design, implementation, and optimization of SIPS and SWEL platforms to support scalable and secure R&D operations and accelerate the delivery of R&D data and AI products 

  • Oversee the architecture, deployment, and maintenance of system integration and software lifecycle platforms 

  • Lead and participate in technical, design, and product discussions related to the data platform; and communicate complex technical ideas to non-technical stakeholders 

Technical Data Management: 

  • Oversee and directly manage team responsible for technical data management activities 

  • Work with this team to manage data management needs from the business and provide platform level technical solutions where required 

Innovation & Team Management: 

  • Collaborate with technical and non-technical teams to maximize the value of the data stack and ensure platforms meet analytical and modeling requirements 

  • Ensure execution across the platform team is predictable, reliable, and sustainable, implementing best practices in engineering processes 

  • Manage project timelines and priorities to ensure timely delivery of platform engineering outputs 

About You

Key Functional Requirements & Qualifications:

  • Master’s in computer science, engineering, or a related field; 8-10 years of experience in platform engineering, DevOps, or software development and 6+ years in management and leadership roles 

  • Proven track record leading successful platform projects across design, development, scaling, and maintenance 

  • Understanding of R&D business and data environment strongly preferred 

  • Strong communication between technical and non-technical stakeholders and collaborators 

  • Demonstrated team leadership, mentorship, and management skill

Key Technical Requirements & Qualifications:

  • Expertise building large-scale data platforms with supporting data lakes 

  • Experience with data security, compliance, and regulatory requirements 

  • Proficiency with data analytics and statistical software (incl. SQL, Python, Java, Excel, AWS, Snowflake, Informatica) 

  • Expert experience with engineering tools and in programming languages such as Python, R, Java 

  • Proven expertise in system integration, data streaming, data platform services, and software engineering lifecycle management 

  • Deep understanding and proven track record managing large-scale platform deployments in a complex R&D environment 

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.

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.

#GD-SA ​
#LI-SA
#LI-Onsite
 #vhd 

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Diversity und Inklusion sind in den Grundwerten von Sanofi verankert und spiegeln sich in unserer Arbeitsweise wider. Wir respektieren die Vielfalt unserer Belegschaft in Hinsicht auf ihre Herkunft, Erfahrungen und Lebensweisen. Wir erkennen die Bereicherung, die diese Vielfalt birgt, und fördern Inklusion sowie eine Arbeitsumgebung, in der diese Unterschiede sich weiter entwickeln können, zur Stärkung des Lebens unserer Mitarbeiter, Patienten und Kunden.

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