Computational Scientist - Complex Fluids & Soft Matter

Lila Sciences; Cambridge (MA); On-site; USD 118,800 - 187,000; Full time

Benefits offered by this job

Medical, dental, vision

Early-stage equity

Commuter benefits

Lunch program

Job summary

Lila Sciences is seeking a Computational Scientist I/II in Cambridge, MA to develop ML models for complex fluids and connect composition to microstructure and bulk properties. You will build active learning workflows and integrate mesoscale or continuum simulations to improve predictions and decision-making.

You will collaborate with experimental teams to align models with measurement workflows and contribute to formulation science across coatings, lubricants, and heat-transfer fluids.

Qualifications

• Experience applying machine learning to scientific, materials-focused, complex fluid or formulation problems.
• Domain expertise in colloids, emulsions, surfactants, polymer solutions, rheology, interfacial science, or related fields.
• Familiarity with rheology, phase stability, dispersion, aggregation, sedimentation, wetting, surface tension, foaming, or related properties.
• Strong Python skills and experience with modern ML frameworks.
• Experience training, evaluating, and improving models using experimental, simulation, or scientific datasets.
• Ability to use simulations or mechanistic understanding to inform modeling choices for complex fluid systems.

Responsibilities

• Develop machine learning models for complex fluid systems and connect composition to microstructure and bulk properties.
• Build structure–property models linking composition, processing, and fluid behavior.
• Design active learning workflows over continuous compositional spaces.
• Incorporate mesoscale/continuum simulation outputs where they improve prediction.
• Create tools to help scientists interpret complex fluid data and guide formulation decisions.
• Collaborate with experimental teams to align models with measurement workflows.

Skills

Python

ML frameworks

Machine learning

Communication skills

Computational science

Education

PhD in a related field

Master’s with relevant experience

Tools

MD

DPD

CFD

Job description

Lila Sciences is seeking a Computational Scientist I/II in Cambridge, MA to develop ML models for complex fluids and connect composition to microstructure and bulk properties. You will build active learning workflows and integrate mesoscale or continuum simulations to improve predictions and decision-making.

You will collaborate with experimental teams to align models with measurement workflows and contribute to formulation science across coatings, lubricants, and heat-transfer fluids.