Scientist, Epitaxial Thin Film Synthesis

Lila Sciences
Cambridge
Workplace: OnsiteFull timeUSD 108,000 - 150,000 annuallyFunction: Research & Scientific (R&D)Experience: 4+ yearsEducation: phdSkills: ["English"]

Lead synthesis of high-quality epitaxial thin films and heterostructures, driving materials discovery through growth, structural analysis, and electronic transport measurements within an autonomous science platform. Collaborate with experimentalists, systems engineers, and ML scientists to design growth protocols and enable high-throughput campaigns for next-generation quantum materials.

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Lila Sciences
Lila Sciences
3 months ago

Scientist, Epitaxial Thin Film Synthesis

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Job Summary

Lead synthesis of high-quality epitaxial thin films and heterostructures, driving materials discovery through growth, structural analysis, and electronic transport measurements within an autonomous science platform. Collaborate with experimentalists, systems engineers, and ML scientists to design growth protocols and enable high-throughput campaigns for next-generation quantum materials.
Location: Cambridge
Workplace: Onsite
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Grow single-crystal epitaxial thin films and heterostructures using epitaxial deposition methods (sputtering, pulsed-laser deposition, molecular beam epitaxy).
  • •Optimize deposition conditions (substrate temperature, flux ratios, growth rate) to achieve atomically sharp interfaces and target crystal phases.
  • •Analyze XRD and AFM data.
  • •Design, fabricate, and measure electronic transport devices, including temperature-dependent resistivity, Hall effect, and magnetoresistance.
  • •Analyze magneto-transport data to extract physical parameters and identify emergent ground states.

Pay and Benefits

Salary: USD 108,000 - 150,000 annually

Key Requirements

  • •Ph.D. in Physics, Materials Science, Applied Physics, or a closely related field.
  • •Minimum of 4 years of hands-on experience growing epitaxial thin films (including graduate research).
  • •Demonstrated expertise in XRD-based structural analysis of crystalline thin films.
  • •Proficiency with surface characterization.
  • •Strong background in electronic and magneto-transport measurements at cryogenic temperatures.
Experience:4+ yearsMaterials scienceQuantum materialsR&D
Education:PhD / Doctorate in Physics, Materials Science, Applied Physics
Skills:English
Languages:English
Tech Stack:XRDAFMRHEEDSputteringPulsed-laser depositionMolecular beam epitaxyHall effectMagnetoresistanceCryogenic measurementsVacuum systems

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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