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Process Modelling Engineer

DATE PUBLIÉE 02/15/2024
type de contrat Full time
reférence de l’emploi R2709400
location Geel;Vitry-sur-Seine;Waterford;

Process Modelling Engineer

Job type: Permanent, Full time

OUR TEAM:

The Process Modelling Team within the MSAT-Digital organization supports decision-making throughout the product lifecycle.  This includes COGs (cost-of-goods) simulations for new processes, manufacturing capacity analysis, facility debottlenecking, fit/feasibility analysis, and manufacturing planning/scheduling support.

MAIN RESPONSIBILITIES:

  • Work with manufacturing sites to understand the manufacturing process flows, material balances, cycle times, resource requirements, and key process constraints.

  • Create process models of the manufacturing operations to quantify plant capacity, identify bottlenecks, and simulate debottlenecking opportunities.

  • Support the design of new processes/facilities by creating models that translate small-scale development data into commercial manufacturing process flows and equipment scaling.

  • Perform fit/feasibility analyses to support transferring new processes into manufacturing. 

  • Work with process development teams in CMC-Development and MSAT to define process targets that achieve desired COGs, Capacity, Facility Fit, and Eco-Design goals.

EDUCATION:

  • BS+ degree in Chemical Engineering or Industrial engineering

SOFT SKILLS:

  • The ideal candidate has an analytical mindset and enjoys using data and computer models to solve problems.

  • Comfortable in a cross-functional environment working with a variety of groups including Manufacturing, MSAT, CMC, Global Strategy, Supply Chain, and Finance.

  • Effective at leading project teams and interfacing with customers and operations personnel.

  • Ability to present technical data to both technical and non-technical audiences.

TECHNICAL SKILLS:

  • Experience using schedule optimization tools (e.g. VirtECS), discrete event simulators (e.g. SchedulePro), or similar modelling tools.

  • Experience using computer programming to solve complex engineering problems.

  • Familiar with financial analysis tools (e.g. ROI, NPV).

  • Familiar with Monte Carlo analysis.

  • Good technical report writing skills.

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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At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

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