Associate / Scientist I, Characterization

🚀 About Lila Sciences

Lila Sciences is the world’s first scientific superintelligence platform and autonomous lab for life, chemistry, and materials science.  We are pioneering a new age of boundless discovery by building the capabilities to apply AI to every aspect of the scientific method.  We are introducing scientific superintelligence to solve humankind's greatest challenges, enabling scientists to bring forth solutions in human health, climate, and sustainability at a pace and scale never experienced before. Learn more about this mission at  www.lila.ai    

At Lila, we are uniquely cross-functional and collaborative. We are actively reimagining the way teams work together and communicate. Therefore, we seek individuals with an inclusive mindset and a diversity of thought. Our teams thrive in unstructured and creative environments. All voices are heard because we know that experience comes in many forms, skills are transferable, and passion goes a long way.

If this sounds like an environment you’d love to work in, even if you only have some of the experience listed below, please apply.

🌟 Your Impact at Lila

As a Scientist I in Characterization, you’ll join our dynamic Physical Sciences team to advance materials characterization workflows in both human-in-the-loop and autonomous settings. You will be at the forefront of developing and optimizing measurement techniques across diverse solid-state materials and chemistries, and collaborating cross-functionally with experimental and ML scientists to fuel AI-driven discoveries. This is a rare opportunity to drive innovation in a highly interdisciplinary environment and contribute to the next generation of research at the intersection of science and AI.

🛠️ What You'll Be Building

• Design, execute, and monitor materials characterization workflows across diverse chemistries and functionalities
• Analyze materials characterization data and interpret results to identify trends and generate hypotheses.
• Collaborate with cross-functional teams, including experimental and machine learning scientists, to support characterization efforts for scientific objectives.
• Maintain accurate and detailed laboratory records and ensure compliance with safety and regulatory standards.
• Troubleshoot workflows and instrumentation related to characterization efforts
• Develop and optimize new characterization methods that meet throughput and quality specifications

🧰 What You’ll Need to Succeed

• PhD degree or Master’s degree with 1-3 years of work experience in Materials Science, Physics, Chemistry, Chemical Engineering, or a related field.
• Proficiency in characterization techniques such as XRD, SEM, and XRF
• Strong background in the chemistry and physics of solid-state materials
• Attention to detail in experimental execution and data interpretation
• Effective, respectful written and verbal communication skills

✨ Bonus Points For

• Experience working with multiple material types
• Familiarity with computational materials science.
• Python programming and data analytics skills
• Exposure to automated or high-throughput lab workflows
• Comfort working in interdisciplinary, fast-paced environments

🌈 We’re All In

Lila Sciences is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

🤝 A Note to Agencies

Lila Sciences does not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to Lila Sciences or its employees is strictly prohibited unless contacted directly by Lila Science’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of Lila Sciences, and Lila Sciences will not owe any referral or other fees with respect thereto.