Syntetica is an early-stage chemical startup on a mission to decarbonize the textile industry through textile-to-textile recycling — starting with nylon.
2M from leading investors including EQT Ventures , the family offices of Peugeot and Etam , as well as high-profile athletes like Paul-Henri Mathieu and Jean-Éric Vergne .
We’ve already forged key partnerships with major textile players like Victoria’s Secret and ETAM — as well as leading fast fashion and sportswear brands — and have assembled a core team of 12 experts .
As the R&D Data Lead , you will design and implement our data strategy related to our R&D product & process development — from lab-level measurement protocols to driving correlation and prediction insights. You will be the go-to person for how we capture, structure, and leverage data in the lab to support both process development and product development objectives, and play a critical role in accelerating R&D through data-informed decision-making.
Data Collection & Measurement
Design and implement data collection protocols across lab experiments
XRF, HPLC, GPC) are in place to capture the right data at the right moment
Lead characterization efforts with external labs and select technical partners for advanced analysis
Data Organisation & Infrastructure
Build and maintain data tracking systems using Google Sheets, Notion, Airtable or equivalent tools
Create structured data templates per protocol and experiment type
Develop protocols for data hygiene and quality control
Data Analysis & Insight Generation
Drive exploratory data analysis , trend identification, and correlation mapping on tools such as JMP, Minitab and/or directly with Python
Data Leadership
Champion a data-first culture within the R&D team
Provide internal training and documentation on data best practices and guide the long-term evolution of our lab and scale-up data architecture
Master’s degree or plus in Engineering, Chemistry, Materials Science, or a related field from a top-tier university
~3-5 years of experience in data-related roles within technical scientific environments (e.g. Product Performance, Data & Characterisation, Quality Control) in startups or fast-paced environments.
Data-driven & Analytical mindset: Data obsessed, including around collecting, analysing and connecting data with product performance
Highly skilled in tools such as JMP, Minitab or in using Python and/or other relevant tools/languages
Excellent & fluent communication skills in English & French
Screening call with People Lead – 15 minutes.
#"