Principal Scientist / Associate Director, Soft Materials Experimentation

Your Impact at LILA
Lila is hiring a Scientific Leader to build and run our experimental soft materials team, covering formulations, polymers, colloids, gels, emulsions, inks, adhesives, and coatings. You will take on a group of four scientists and grow it as the portfolio expands across formulation, rheological and scattering characterization, and polymer processing. The team turns soft-matter problems into closed-loop autonomous workflows: defining what gets measured, how it gets measured at throughput, and how the resulting data supports active learning and inverse design. The work asks you to stay close to the bench while mentoring a growing team and setting its direction over a multi-year growth horizon.
What You'll Be Building
Lead and grow a group of scientists spanning formulation, polymer processing, and physical characterization; set scientific direction, develop the team, and hire against an expanding portfolio
Own the experimental strategy for soft materials — the measurement stack, the campaign designs, and the scientific validity of what the group publishes internally and to partners
Hold your team's delivery on partner-funded programs alongside the technical program managers who own the programs themselves, setting the standard on timelines, throughput, and data quality
Build and validate high-throughput workflows spanning melt and solution rheology, scattering, thermal and mechanical analysis, microfluidics, and application-specific performance testing
Define the measurement strategies that make machine learning and inverse design tractable, and partner with modeling and AI colleagues to close the loop from proposed candidate to validated formulation
Work with automation and engineering colleagues to move prototype workflows into production with reliable instrument control, structured data capture, and end-to-end robotics
Provide technical depth on new opportunities: feasibility assessment, scoping, and customer-facing scientific engagement
Justify and manage capital equipment and vendor relationships for the group; set the expectation on safe handling for its chemical footprint and hold the group to it
Coordinate shared characterization capability and cross-domain campaigns with adjacent materials and chemistry groups
What You'll Need to Succeed
PhD in Materials Science, Polymer Science, Chemical Engineering, or Chemistry with 8+ years of post-degree R&D experience, or equivalent depth built through industrial practice
Experience leading scientific teams, whether as a formal manager or as a technical lead with direct responsibility for others' work
Deep soft-matter fundamentals: phase behavior, self-assembly, rheology, interfacial phenomena, colloid and dispersion stability, transport, cure and crosslinking
Hands-on record formulating and characterizing multicomponent systems and translating structure–property relationships into performance
Demonstrated delivery against external milestones with industrial partners or sponsored programs
Data-centric experimental practice: DoE, high-throughput methods, structured capture, and working with ML colleagues as a peer rather than a customer
Comfort moving between strategy and bench-level troubleshooting, and leading a team split across multiple sites
Bonus Points For
Depth in one or more application areas such as adhesives and coatings, printed electronics, energy materials, or consumer and personal care
Experience taking formulations from lab through scale-up and manufacturability review
Robotic or automated formulation, automated characterization, or self-driving lab environments
Python proficiency for analysis, instrument control, or workflow orchestration
Familiarity with EHS and regulatory constraints on formulated products
Compensation
We offer competitive base compensation with bonus potential and generous early-stage equity. Your final offer will reflect your background, expertise, and expected impact.
U.S. Benefits. 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.
International Benefits. 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.
Expected Base Salary Range
$156,000—$214,000 USD
About LILA
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.
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.
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.
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.
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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.