Senior Science Associate (LCA Focus)
Senior Science Associate (LCA Focus)
Location: Remote (Paris preferred)
Type: Full-time (CDI or equivalent)
Start date: ASAP
Industry: Eco SaaS / Life Cycle Assessment / Cosmetics Sustainability
About Fairglow
At Fairglow, we’re building the next generation of ecodesign software for the cosmetics industry. Our SaaS platform empowers brands to measure, understand, and reduce the environmental impact of their products from raw ingredients to packaging using the power of life cycle assessment (LCA).
We believe clean beauty should be scientifically backed , not just branded. That’s why our tool makes LCA accessible, transparent, and fast turning months of consulting into real-time insight.
About the Role
We’re looking for a Senior Science Associate to join our core Science & Methodology team. This is a hybrid role equal parts scientific algorithm design and client-facing ecodesign support. You’ll help us build the logic behind our product, refine our data and methodology, and work directly with clients to improve the sustainability of real-world products.
This role is for someone who thrives on both rigorous academic thinking and practical execution . You’ll work closely with product, engineering, and client teams translating science into features, guidance, and impact.
What You’ll Do
- Design and improve algorithms for modeling the environmental impacts of ingredients, formulations, and packaging
- Maintain and evolve our multi-indicator LCA methodology (across 16+ impact categories)
- Collaborate with product and tech teams to integrate science into software workflows and user-facing features
- Investigate and resolve data gaps; improve data quality, traceability, and transparency
- Support clients in using our platform for ecodesign decisions, ingredient selection, and impact reduction
- Contribute to white papers, methodology docs, and external communications
- Stay up-to-date with LCA best practices, regulatory frameworks (like CSRD), and database evolution
- Help ensure scientific integrity across the platform, from backend models to frontend user experience
Mandatory Qualifications
- Strong hands-on experience in LCA modeling (ecoinvent, EF 3.0, or similar databases)
- PhD (or equivalent experience) in environmental science, LCA, chemical engineering, or related field
- Fluent in both French and English , written and spoken
- Experience translating technical concepts to diverse audiences (internal and external)
- Comfortable working in a fast-moving, collaborative, startup environment
Preferred Qualifications
- Experience with Brightway2, openLCA, SimaPro or custom LCA model-building tools
- Solid programming skills in Python (pandas, Jupyter, numpy, SQL)
- Background in cosmetics, chemicals, ingredients, or packaging LCA
- Familiarity with ISO 14040/44, PEF, CSRD, and sustainability reporting frameworks
- Experience working directly with clients, especially in B2B or consulting contexts
- Based in or near Paris
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