Computational Scientist I/II, Soft Matter Formulations, Solids and Melts

Lila Sciences
Cambridge, Massachusetts, United States
Full Time
On Site
Mid
USD 118,800 – 187,000
Postgraduate Degree
Science & Research Science Rnd Non Medical

Posted 2 days ago

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Excellent 4.7

Job summary

The role involves developing machine learning models and workflows for soft and solid materials, including polymers, elastomers, gels, and composites. Candidates should have expertise in polymer science, soft matter physics, rheology, and computational methods, with a focus on connecting formulation variables, processing history, and material properties.

Responsibilities

Develop machine learning models and active learning workflows to accelerate the discovery of polymeric and soft material systems. Bridge domain expertise in polymer science with computational execution to connect formulation choices to end-use performance.

Qualifications

active learning data analysis machine learning modeling polymer science Python programming rheology simulation soft matter physics thermal properties

Requires a PhD in a relevant scientific field or a Master's with equivalent experience, along with strong Python and ML framework skills. Candidates must have domain expertise in polymer science, soft matter, or rheology and experience applying ML to scientific datasets.

English

Benefits

  • Medical Insurance
  • Dental Insurance
  • Vision Insurance
  • Employer-paid Life Insurance
  • Disability Insurance
  • Flexible Time Off
  • Company Wide Holidays
  • Paid Parental Leave
  • Educational Assistance Program
  • Commuter Benefits
  • Bike Share Memberships
  • Company Subsidized Lunch Program
  • Equity

Company

Lila Sciences

Lila Sciences

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Technology, Information and Internet
Location
Cambridge, Massachusetts, United States
Website
lila.ai

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Excellent 4.7
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