Scientist II / Senior Scientist, Electron Diffraction Characterization

Cambridge, MA

About the role

<p><strong>Your Impact at LILA</strong></p> <p>Lila Sciences is seeking a <strong>Scientist II / Senior Scientist, Electron Diffraction Characterization</strong> to join the Materials Science team within the Autonomous Science Platform. The Autonomous Science Platform combines experimental science, automation, AI, and software to accelerate materials discovery. This role turns electron diffraction and microstructure measurements into trusted, machine-readable data that supports crystal structure determination, materials characterization, automated workflows, and model development.</p> <p>You will lead method development, validation, and operation for electron diffraction characterization workflows, with emphasis on micro-ED and/or EBSD. You will prepare samples, run measurements, interpret diffraction and microstructure data, troubleshoot data-quality issues, and establish workflows that make characterization outputs accurate, reproducible, and fit for purpose.</p> <p>You will also translate electron diffraction expertise into scalable analyzer pipelines. Partnering with ML, software, automation, and experimental teams, you will define metadata, quality-control checks, provenance, and analysis workflows that make diffraction data reliable, traceable, and useful at scale.</p> <p>The ideal candidate combines deep hands-on expertise in electron diffraction characterization with strong scientific judgment and a commitment to high-quality data. They can operate at the instrument, interpret complex structural and microstructural outputs, and help build the analytical infrastructure needed to scale characterization across Lila’s platform.</p> <p><strong>What You'll Be Building</strong></p> <ul> <li>Lead micro-ED and other electron microscopy characterization workflows for materials discovery programs.</li> <li>Develop methods for crystal structure determination and microstructure analysis.</li> <li>Prepare samples, run measurements, interpret data, and troubleshoot quality issues.</li> <li>Define calibration, validation, QC, and reproducibility standards for electron diffraction workflows.</li> <li>Build structured, traceable diffraction outputs for downstream analysis and modeling.</li> <li>Partner with ML, software, automation, and experimental teams on analyzer pipelines.</li> <li>Translate project needs into fit-for-purpose characterization methods and analysis plans.</li> </ul> <p><strong>What You'll Need to Succeed</strong></p> <ul> <li>PhD in Materials Science, Chemistry, Physics, Applied Physics, Engineering, or a related field, or M.S. with equivalent hands-on characterization experience.</li> <li>Hands-on expertise in SEM and TEM including advanced diffraction analysis such as micro-ED.</li> <li>Strong understanding of diffraction principles, crystallography, crystal structure determination, and microstructure analysis.</li> <li>Experience preparing samples, validating methods, interpreting diffraction data, and troubleshooting workflow issues.</li> <li>Ability to translate characterization workflows into reliable, structured, machine-readable data.</li> <li>Experience collaborating across scientific, ML, software, automation, or data teams.</li> <li>Clear communication skills for documenting methods, explaining results, and driving cross-functional decisions.</li> </ul> <p><strong>

Bonus Points For</strong></p> <ul> <li>Experience with other EM techniques including EBSD, 4D-STEM is a plus.</li> <li>Familiarity with automated or high-throughput characterization workflows.</li> <li>Proficiency with Python or similar tools for scientific data analysis.</li> <li>Experience integrating instrument data with ML-ready datasets or analyzer workflows.</li> </ul><div class="content-pay-transparency"><div class="pay-input"><div class="description"><p><strong>

Compensation</strong></p> <p>We offer competitive base

compensation with

bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.</p> <p><strong>U.S.

Benefits.</strong> Full-time U.S. employees receive a comprehensive

benefits program including medical, dental, and vision coverage; employer-paid life and disability insurance; flexible time off with generous company wide holidays; paid parental leave; an educational assistance program; commuter

benefits, including bike share memberships for office based employees; and a company subsidized lunch program.</p> <p><strong>International

Benefits.</strong> Full-time employees outside the U.S. receive a comprehensive

benefits program tailored to their region. USD salary ranges apply only to U.S.-based positions; international salaries are set to local market.</p></div><div class="title">Expected Base Salary Range</div><div class="pay-range"><span>$128,000</span><span class="divider">—</span><span>$198,000 USD</span></div></div></div><div class="content-conclusion"><p><strong>About LILA</strong></p> <p>Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. We believe science is the most inspiring frontier for AI. Rather than hard-coding expert knowledge into tools, LILA builds systems that can learn for themselves.</p> <p>LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously, accelerating discovery at unprecedented speed, scale, and impact across medicine, materials, and energy. Learn more at www.lila.ai.</p> <p>Guided by our core values of truth, trust, curiosity, grit, and velocity, we move with startup speed while tackling problems of historic importance. If this sounds like an environment you'd love to work in, even if you don't meet every qualification listed above, we encourage you to apply.</p> <p><strong>We’re All In</strong></p> <p>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.</p> <p>Information you provide during your application process will be handled in accordance with our <a href="https://www.lila.ai/candidate-privacy-policy-notice">Candidate Privacy Policy</a>.</p> <p><strong>A Note to Agencies</strong></p> <p><em>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.</em></p></div>

About Lila Sciences

Lila Sciences is a platform that uses artificial intelligence to support research in life sciences, chemical sciences, and materials sciences. It develops AI-driven tools and autonomous labs to improve research efficiency and facilitate scientific discoveries. The platform is designed to enhance various aspects of the scientific method and contribute to advancements in technology and innovation.

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Job details

Salary

$128,000 - $198,000

Location

Cambridge, MA

Company

NameLila Sciences
IndustryArtificial Intelligence (AI)
Team Size3

Funding

Total raised

$550M

Last stage

Series A

Investors

FFlagship Pioneering
General Catalyst
NNVentures (NVIDIA)
BBraidwell
Abu Dhabi Investment Authority (ADIA)

Founders

AS

Alexandra Sneider

Co-Founder & Head of Corporate Development

JF

Jake Feala

Co-Founder & SVP Autonomous Platform

Geoffrey von Maltzahn

Geoffrey von Maltzahn

Co-Founder & CEO

LinkedIn
NA

Noubar Afeyan

Co-Founder

AB

Andrew Beam

Co-Founder & CTO

What happens next.

No applications, no recruiter spam. Just the intro.

01

Confirm the fit

A few questions to make sure this role is the right shape for you. Two minutes.

02

I pitch you to the company

I write the intro, send it to the founder, and handle the back-and-forth.

03

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.