Head of R and D Platform Engineering
SanofiAbout the role
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 provi
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