Process Robustness Monitoring Lead

Job Title: Process Robustness Monitoring Lead

Location: Framingham, MA  

About the job

At Sanofi, we deliver 4.3 billion healthcare solutions to people every year, thanks to the flawless planning and meticulous eye for detail of our Manufacturing & Supply teams including Global MSAT (Manufacturing Sciences, Analytics, and Technology). With your talent and ambition, we can do even more to protect people from infectious diseases and bring hope to patients and their families.

As a Process Data Science Lead within MSAT Process Data Management, ML and AI platform, you will contribute to the launch of 3 to 5 new products annually across various modalities, enabling us to reach and serve more patients and communities. You will also help us fulfil our ambitions to provide best-in-class data-driven Manufacturing Support, focusing on technical and process aspects, process monitoring, process robustness enhancement, and yield improvement to optimize performance.

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:

• Lead the development of process robustness monitoring ways of working (WoW) within DSD and MSAT using available Digital tools (SimplY, One Yield Dashboard, and other tools) (30%)
• Provide training and upskilling the DSD techno platforms teams to use data and AI solutions for process robustness monitoring and troubleshooting (20%).         
• Partner with the Digital organization to improve the capabilities of AI tools and data solutions designed for process troubleshooting and yield management (20%)       
• Develop proactive process analytics strategies and tools for improve process robustness across all sites (20%)  
• Provide ad-hoc process troubleshooting support for techno platforms across MSAT to ensure business continuity (10%).

About You:

Education:

• MSc. - Industrial, Chemical or related field of study - required. PhD - preferred.
• Formal training, certification or self-learned demonstratable skills as a data science practitioner in developing and implementing process monitoring, modelling and ML/AI solutions - preferred.

Experience:

• Must have a minimum of 4 years (PhD) or 7 years (MSc) of relevant process modelling/process diagnostics experience in manufacturing or industrial settings.
• 7+ years of experience with increasing responsibilities in project and stakeholder management.
• 5+ years of experience in delivering insights through multivariate statistics, mathematical modelling, and data visualization.
• Proficient in using classification, clustering, and dimensionality reduction.
• Strong understanding of batch genealogy in biopharmaceutical manufacturing settings and its application for process troubleshooting. 
• Strong knowledge in working with data historian systems, including PI Asset Framework (AF) & PI Event Frames, Manufacturing Execution System (MES) and IoT solutions.
• Experience with implementing ETL processes for aggregating and contextualizing data.
• Experience with developing business requirements, and ability to influence and communicate with a diverse group of stakeholders from multiple levels of management.
• Ability to deliver projects with complex requirements and a strong customer focus.

Technical skills:

• Data analysis and modelling using open-source software libraries, SIMCA, Dataiku and JMP
• Database design/management tools: AVEVA PI or Aspen InfoPlus 21 historian, MS SQL Server, MySQL, and PostgreSQL  
• Scripting tools: Python, R, and SQL
• Data visualization: Power BI, Streamlet, PI Vision
• Big Data/cloud platforms: AWS, Snowflake, Azure
• Other relevant software such as MS office, software for project management and agile activity tracking.

Project Management:

• Lean & Agile practices
• User experience management
• Vendor management

Transversal Skills & Competencies (Soft skills):

• Problem solving and decision making
• Storytelling and technical writing
• Building partnerships/stakeholder management 
• Transversal collaboration
• Strategic thinking
• Change management

Languages:

• Fluent in English 

Why Choose Us?

• Bring the miracles of scien