Principal Scientist / Associate Director, Soft Materials Experimentation

Lila Sciences, Inc.; Cambridge (MA); On-site; USD 156,000 - 214,000; Full time

Benefits offered by this job

Comprehensive benefits

Equity opportunities

Job summary

Lila Sciences, Inc. in Cambridge, MA seeks a Principal Scientist / Associate Director to lead a four-person soft materials team. You will define experimental strategy, advance high-throughput workflows, and guide polymer processing and rheology studies while collaborating with ML colleagues to enable inverse design.

You will mentor staff, shape multi-year growth, and ensure program delivery with partner-funded and internal initiatives, including instrument control and data capture improvements.

Qualifications

• PhD in Materials Science, Polymer Science, Chemical Engineering or Chemistry with 8+ years of post-degree R&D.
• Experience leading scientific teams, either as a formal manager or technical lead.
• Deep soft-matter fundamentals: phase behavior, rheology, colloids, transport, crosslinking.
• Hands-on record formulating and characterizing multicomponent systems and structure–property relations.
• Delivery against external milestones with industrial partners or sponsored programs.
• Data-centric experimental practice: DoE, high-throughput methods, structured capture.

Responsibilities

• Lead and grow a group of scientists spanning formulation, polymer processing, and physical characterization.
• Own the experimental strategy for soft materials and measurement stack.
• Oversee high-throughput workflows, campaigns, and data quality across programs.
• Define measurement strategies that enable machine learning and inverse design.
• Coordinate with automation and engineering to move workflows toward production.
• Manage capital equipment and vendor relationships while ensuring safety standards.

Skills

Team leadership

Strategic planning

Soft matter fundamentals

DoE / high-throughput methods

Data-driven / ML collaboration

bench-to-production mindset

Python proficiency

Education

PhD in Materials Science, Polymer Science, Chemical Engineering, or Chemistry

Tools

Python

High-throughput characterization

Job description

Principal Scientist / Associate Director, Soft Materials Experimentation

Cambridge, MA USA

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.

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

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