Lila Sciences

1 month ago

Scientist II, Mechanics & Extreme Materials

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Scientist II specialized in coatings, metal alloys, and microstructural analysis will drive closed-loop learning for extreme materials on a cross-disciplinary team including experimentalists, systems engineers, and ML scientists. You will design experiments, optimize testing workflows for anti-wear and anti-corrosion materials, and feed data into autonomous workflows to accelerate discovery of next-generation coatings for aerospace, defense, and industrial use.

Location: Cambridge

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Drive the strategy for closed-loop campaigns on anti-wear and anti-corrosion materials.
•Develop, execute and optimize characterization and testing workflows for extreme environment materials, including coatings and bulk materials. Focus areas include: microstructural, mechanical, and tribological analysis for process-structure-property relationships.
•Collaborate with experimentalists, systems engineers, and ML scientists to integrate characterization outputs into autonomous closed-loop workflows and ML training datasets.
•Lead experimental design and analysis to extract key materials properties and performance parameters for ML training.
•Troubleshoot characterization workflows and instrumentation to sustain high-throughput operational performance.

Pay and Benefits

Salary: USD 128,000 - 172,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityRemote WorkPaid Leave

Key Requirements

•PhD in Materials Science, Metallurgy, Mechanical Engineering, or related field with 3+ years post-PhD or industry experience.
•Proficiency in nanoindentation-based mechanical characterization of thin films and bulk materials, including hardness, wear rate, elastic modulus, tribology, and high-throughput testing protocol development.
•Solid mechanics foundation and deep expertise in microstructural characterization of metal alloys: SEM, TEM, EBSD.
•Track record developing anti-wear or anti-corrosion materials with measurable performance outcomes.
•Strong grounding in physical metallurgy and ceramics science: phase equilibria, transformations, sintering, deformation mechanisms, and degradation in extreme environments.

Experience:Materials scienceMetallurgyCeramicsMechanical engineering

Education:PhD / Doctorate

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonThermo-CalcPandatSEMTEMEBSDNanoindentationHigh-throughputML

Company Brief

Lila Sciences

Develops AI-driven platforms to accelerate drug discovery and biological research by integrating machine learning with chemical and biological data to predict molecular properties, streamline candidate selection, and enable faster therapeutic development.

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn

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Lila Sciences

1 month ago

Scientist II, Mechanics & Extreme Materials

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Cambridge

Workplace: Onsite

Employment Type: Full time

Job Function: Research & Scientific (R&D)

Seniority: Mid level

Key Responsibilities

•Drive the strategy for closed-loop campaigns on anti-wear and anti-corrosion materials.
•Develop, execute and optimize characterization and testing workflows for extreme environment materials, including coatings and bulk materials. Focus areas include: microstructural, mechanical, and tribological analysis for process-structure-property relationships.
•Collaborate with experimentalists, systems engineers, and ML scientists to integrate characterization outputs into autonomous closed-loop workflows and ML training datasets.
•Lead experimental design and analysis to extract key materials properties and performance parameters for ML training.
•Troubleshoot characterization workflows and instrumentation to sustain high-throughput operational performance.

Pay and Benefits

Salary: USD 128,000 - 172,000 annually

Equity and Bonus:Equity

Perks:Health InsuranceDentalVision401kEquityRemote WorkPaid Leave

Key Requirements

•PhD in Materials Science, Metallurgy, Mechanical Engineering, or related field with 3+ years post-PhD or industry experience.
•Proficiency in nanoindentation-based mechanical characterization of thin films and bulk materials, including hardness, wear rate, elastic modulus, tribology, and high-throughput testing protocol development.
•Solid mechanics foundation and deep expertise in microstructural characterization of metal alloys: SEM, TEM, EBSD.
•Track record developing anti-wear or anti-corrosion materials with measurable performance outcomes.
•Strong grounding in physical metallurgy and ceramics science: phase equilibria, transformations, sintering, deformation mechanisms, and degradation in extreme environments.

Experience:Materials scienceMetallurgyCeramicsMechanical engineering

Education:PhD / Doctorate

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonThermo-CalcPandatSEMTEMEBSDNanoindentationHigh-throughputML

Company Brief

Lila Sciences

Industry: Biotech

Company Size: Small (11 to 50 employees)

Growth: Early Stage Startup

Funding: Seed

Website LinkedIn