Scientist II/Senior Melt Polymer Scientist

Lila Sciences
Cambridge
Workplace: OnsiteFull timeUSD 128,000 - 198,000 annuallyFunction: Research & Scientific (R&D)Experience: 3+ yearsEducation: mastersSkills: ["Cross-functional collaboration","Quantitative data analysis","Troubleshooting","Written communication","Verbal communication"]

Drive the development and optimization of solid polymers for hot melt adhesive systems by designing and executing high-throughput melt processing and characterization experiments. Lead AI-driven experimental design and analysis, applying melt rheology and performing polymer characterization to establish structure–property relationships. Run mechanical testing, troubleshoot workflows and instrumentation, and collaborate with experimentalists, systems engineers, and ML scientists to feed data into autonomous closed-loop materials discovery.

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Lila Sciences
Lila Sciences
1 day ago

Scientist II/Senior Melt Polymer Scientist

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Last checked: 15 hours agoStatus: Live

Job Summary

Drive the development and optimization of solid polymers for hot melt adhesive systems by designing and executing high-throughput melt processing and characterization experiments. Lead AI-driven experimental design and analysis, applying melt rheology and performing polymer characterization to establish structure–property relationships. Run mechanical testing, troubleshoot workflows and instrumentation, and collaborate with experimentalists, systems engineers, and ML scientists to feed data into autonomous closed-loop materials discovery.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Lead AI-driven experimental design and analysis to optimize solid polymer formulations into manufacturable products.
  • •Develop and apply melt rheology methods to characterize processability and application performance.
  • •Execute polymer characterization studies (e.g., molecular weight, thermal transitions, crystallinity) to define structure–property relationships.
  • •Design and run mechanical testing protocols (peel, shear, tack, bond strength) to evaluate formulation performance.
  • •Collaborate to integrate characterization outputs into autonomous closed-loop workflows and ML training datasets, while troubleshooting instrumentation and maintaining compliant lab records.

Pay and Benefits

Salary: USD 128,000 - 198,000 annually
Perks:Health InsuranceDentalVisionLife InsuranceDisability InsurancePaid ParentalEducation AssistanceCommuter BenefitsBike ShareMeal AllowanceFlexible TimePaid Holidays

Key Requirements

  • •PhD in Polymer Science, Materials Science, Chemistry, Chemical Engineering, or related field, with 3+ years of postdoctoral or industry experience (or equivalent with an advanced degree).
  • •Hands-on expertise in melt polymer formulation and development, including polymer extrusion and melt processing equipment.
  • •Strong working knowledge of melt rheology with experience using rheometers, melt flow indexers, or equivalent platforms.
  • •Experience with polymer characterization (e.g., DSC, GPC/SEC, FTIR) and mechanical testing (peel, shear, tack, tensile, lap shear) aligned to ASTM/industry standards.
  • •Proficiency in quantitative data analysis and effective written and verbal communication with cross-functional collaboration.
Experience:3+ yearsMaterials sciencePolymer sciencePolymer formulationAdhesivesHigh-throughputAutonomous lab
Education:Master's in Polymer Science, Materials Science, Chemistry, Chemical Engineering, or related field
Skills:Cross-functional collaborationQuantitative data analysisTroubleshootingWritten communicationVerbal communication
Tech Stack:PythonPolymer extrusionMelt processingMelt rheologyRheometersMelt flow indexersDSCGPC/SECFTIRMechanical testingPeelShearTackTensileLap shearASTM

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
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