Platform Scientist, Soft Materials

Full TimeHybrid

Cambridge, MA USAPosted 4 days ago

Role Overview

Lilasciences is hiring a Platform Scientist, Soft Materials. This is a full-time hybrid role, based in Cambridge. posted 4 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.

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Job description

Your Impact at LILA

Lila Sciences is seeking Platform Scientists, Soft Materials Focus to ideate, prototype, and transfer new experimental concepts for AI Science Factories targeting complex and soft material systems. In this role, you will work at the forefront of scientific ideation—partnering with a broad range of chemistry, materials, and AI teams to define new approaches to formulation, structure–property relationships, and performance evaluation. You will translate these concepts into scalable experimental workflows, custom apparatus, and software-enabled systems for autonomous research.

What You'll Be Building

Collaborate with diverse scientific teams to ideate new experimental strategies for soft and complex materials, including formulations, colloids, polymers, gels, and biological or hybrid systems
Lead conceptual development of characterization and performance workflows leveraging techniques such as SAXS, SANS, rheology, and formulation performance assays
Design, prototype, and validate custom apparatus, experimental methods, and software tools to realize these concepts
Develop and refine workflows that connect structure, dynamics, and performance across multiple length and time scales
Transfer successful prototypes into production-ready systems within Lila’s AI Science Factory platform, enabling autonomous experimentation

What You'll Need to Succeed

MS or PhD in Materials Science, Chemistry, Chemical Engineering, Physics, or a related field, with a focus on soft or complex materials
Demonstrated experience collaborating across scientific disciplines to generate and refine experimental concepts
Hands-on experience with one or more of the following: SAXS, SANS, rheology, formulation performance or functional assays
Experience designing and implementing custom experimental workflows and/or scientific software
Strong programming skills (e.g., Python, C++, or similar) applied to data analysis, automation, or experiment control
Excellent communication skills and comfort operating in a fast-paced, exploratory R&D environment

Bonus Points For

Experience with lab automation, high-throughput experimentation, or instrument control software
Background in formulation science (e.g., consumer products, coatings, energy materials, bio-soft matter)
Experience linking scattering, rheological, and performance data to predictive or ML-driven models
Familiarity with prototyping tools such as 3D printing, machining, microfluidics, or custom sample environments
Industry or national lab experience working on soft materials or complex fluids

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

$108,000—$150,000 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.

Information you provide during your application process will be handled in accordance with our Candidate Privacy Policy.

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.

About Lilasciences

Lilasciences

Hybrid

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Frequently Asked Questions

How do I apply for the Platform Scientist, Soft Materials position at Lilasciences?

Use the Apply button above to submit your application directly to Lilasciences. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Is the Platform Scientist, Soft Materials role at Lilasciences remote or in-office?

This is a hybrid role based in Cambridge. Expect a mix of in-office and remote days, with the specific cadence set by the hiring manager.

What does a Platform Scientist, Soft Materials at Lilasciences earn?

Lilasciences has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Platform Scientist, Soft Materials role at Lilasciences posted?

This role was posted on July 6, 2026 (4 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.