Materials Scientist - Compostable Polymer R&D (Equity)

Materials Scientist - Compostable Polymer R&D (Equity)

Full-Time 40000 - 60000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the development of innovative compostable polymers and collaborate on sustainable solutions.
  • Company: Jack & Jill, a dynamic climate tech startup in London.
  • Benefits: Equity options, competitive salary, and a chance to make a real environmental impact.
  • Other info: Exciting opportunity for growth in a fast-paced, innovative environment.
  • Why this job: Join a mission-driven team and revolutionise the future of sustainable materials.
  • Qualifications: Experience in materials science and a passion for sustainability.

The predicted salary is between 40000 - 60000 Β£ per year.

Jack & Jill, a VC-backed climate tech startup in London, is seeking a Materials Scientist to lead formulation of novel polymer blends and additive packages for fully compostable materials that perform like conventional plastics.

You will bridge lab characterization with industrial scale-up, build predictive frameworks linking rheology and crystallinity to processing, and collaborate with suppliers to source sustainable feedstocks.

Materials Scientist - Compostable Polymer R&D (Equity) employer: Jack & Jill

At Jack & Jill, we pride ourselves on being an exceptional employer that fosters a dynamic and innovative work culture. Our team enjoys a range of benefits including flexible working arrangements, professional development opportunities, and a collaborative environment that encourages creativity and growth. Located in a vibrant area, we offer unique advantages such as access to cutting-edge technology and the chance to work with industry leaders in AI-driven marketing strategies.

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Contact Details:

Jack & Jill Recruitment Team

We think you need these skills to ace Materials Scientist - Compostable Polymer R&D (Equity)

Polymer Science
Formulation Development
Additive Manufacturing
Compostable Materials
Rheology
Crystallinity Analysis
Lab Characterization