Scientific Implementation Associate (French-speaking)

This is a remote position.

The opportunity

Our client, a growth-stage software company serving enterprise R&D teams, is hiring a French-speaking Scientific Implementation Associate with 0 to 1 year of experience. You'll join a small customer implementation team and work directly with chemists, materials scientists and researchers at large companies, helping them move their lab workflows and experimental data onto the platform.

This is an unusual entry-level role. A science graduate gets in front of enterprise R&D customers from the first week, with a clear path to owning accounts and running customer meetings.

What you'll do

• Run hands-on implementations for enterprise R&D customers, bringing their existing data and workflows onto the platform.
  
• Interpret and restructure scientific datasets, and work out the best way to model how each customer runs experiments.
  
• Take part in customer meetings with scientists, technicians and R&D leaders, and lead them as you grow into the role.
  
• Support senior implementation managers on large enterprise rollouts, or manage smaller accounts yourself.
  
• Bring what you learn from customers back to the product and engineering teams to help shape the roadmap.
  

Tools you'll use

Python, Excel, scientific data management tools, electronic lab notebooks (ELN) and lab information management systems (LIMS).

About the company

Our client builds a software platform that helps industrial R&D teams run experiments, manage their data and get new products to market faster. Its customers are large enterprises in chemicals, pharmaceuticals, advanced materials and consumer products.

The company is venture-backed and well past the early startup stage, with an engineering-led culture and offices in the US and Europe. The implementation team is small, so each person has real ownership and visible impact.

Requirements

What we're looking for

• Fluent French.
  
• A B.S. or integrated Master's in a STEM field such as chemistry, materials science or chemical engineering, from a strong university.
  
• Research experience from internships or academic work in a lab or scientific setting.
  
• A genuine interest in software, for example Python scripting, data tools or general technical curiosity.
  
• Confidence with customers. You should be comfortable sitting across from a client and leading the conversation.
  
• Comfort working with data, including spreadsheets, large datasets and scientific data structures.
  

Benefits