Computational Scientist I/II at lilasciences

Compensation

$118,800 – $187,000/yr

Setup: Hybrid
Location: Cambridge, Minnesota
Type: Full-time
Level: not_specified
Posted: Jul 24, 2026

Description

Lila Sciences is looking for a Computational Scientist I/II specializing in Soft Matter Formulations, focusing on solids and viscoelastic materials. The role involves developing machine learning models to accelerate discovery in polymeric and soft material systems, bridging domain expertise with computational execution. Responsibilities include creating structure-property models, building representation for various material characteristics, and designing active learning workflows to optimize formulation experiments.

Required Skills

polymer science
soft matter physics
rheology
solid materials
formulation science
machine learning
Python

Additional Information

Required Previous Experiences: Experience applying machine learning to scientific, materials-focused, polymer, soft matter, or formulation problems.
Experience training, evaluating, and improving models using experimental, simulation, or scientific datasets.
Preferred Qualifications: Experience working with experimental data from polymers, elastomers, gels, hot-melts, adhesives, composites, powders, films, semi-solids, or solid formulations.
Experience modeling structure-property relationships for solid, semi-solid, or viscoelastic materials.
Familiarity with cure- or processing-aware representations for formulation, thermal, mechanical, or rheological datasets.
Experience incorporating molecular or polymer descriptors, simulation constraints, theoretical models, or mechanistic priors into ML workflows.
Background in active learning systems that close the loop between models and high-throughput physical experimentation.
Hands-on experimental or computational experience in polymer, adhesive, gel, composite, or soft material formulation domains.