

Materials Scientist
Actalent
Posted Monday, May 19, 2025
Posting ID: JP-005289077
We’re seeking a curious, collaborative, and forward-thinking Materials Scientist to join our interdisciplinary team.
In this role, you’ll apply AI to accelerate the discovery and optimization of next-generation materials.
You’ll be at the forefront of innovation, helping shape the future of materials research.
We are a cutting-edge artificial intelligence company transforming the landscape of scientific research and development.
Our focus is on revolutionizing materials science—a foundational pillar for innovation across industries like aerospace, energy, and advanced manufacturing.
By combining AI, engineering, and materials science, we’re accelerating the discovery and design of new materials, tackling global challenges, and setting new standards for sustainability and technological progress.
What You’ll Do
- Design and execute experiments to synthesize and characterize novel materials, guided by AI-driven insights.
- Analyze large datasets from experiments, simulations, and external sources to uncover structure-property relationships.
- Collaborate with AI scientists and engineers to translate materials behavior into predictive models and performance optimizations.
- Stay ahead of the curve by integrating the latest advancements in materials theory and experimental techniques.
- Communicate your findings through technical reports, presentations, and publications—contributing to both scientific knowledge and intellectual property.
What You Bring
- Bachelor’s degree or higher in Materials Science, Chemistry, Chemical Engineering, Polymers, or a related field.
- Strong foundation in materials synthesis, characterization, and testing.
- Experience working in laboratory environments with a solid understanding of safety protocols.
- Excellent analytical skills and the ability to interpret complex datasets.
- Proficiency in at least one programming language (e.g., Python, C++, MATLAB).
- Strong communication skills—both written and verbal.
Bonus Points For
- Experience with AI-driven materials research, including machine learning for property prediction and materials informatics.
- A track record of transitioning computational research into real-world applications or production environments.
Employee Value Proposition
- Be part of a high-impact startup transforming materials science with AI.
- Enjoy competitive pay and a full-time schedule with no weekend work.
- Access a comprehensive benefits package upon direct hire.
- Work in a state-of-the-art lab .
Work Environment
- Lab-based role within a collaborative, 20-person startup team.
- Located in a premier life sciences facility in the heart of Manhattan.
- Flexible work hours within an 8 AM – 7 PM window.
Contact Information
Recruiter: Giulia Paulet
Phone: (623) 259-2830
Email: gpaulet@actalentservices.com