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Research Assistant, Porous Materials

Lila Sciences is building a scientific superintelligence platform and autonomous lab to accelerate discovery in life, chemistry, and materials science. We are seeking a hands-on Research Assistant focused on porous material characterization to support powder sample preparation, gas and vapor isotherm measurements, adsorption data analysis, and synthesis of novel porous materials—all to enable faster AI-guided scientific iteration.

Skills

  • Bachelor’s or Master’s in Materials Science, Chemistry, Chemical Engineering, or related
  • Experience preparing and handling powder samples
  • Hands-on experience with gas and/or vapor isotherm instrumentation (volumetric and/or gravimetric)
  • Ability to analyze porosity/adsorption data and extract key metrics
  • Strong attention to detail and rigorous lab documentation
  • Familiarity with synthesis methods for porous materials (preferred)
  • Basic programming for automating/processing data (Python or MATLAB preferred)

Responsibilities

  • Prepare and handle powder samples for porosity and physical characterization
  • Perform gas and vapor isotherm measurements using volumetric and/or gravimetric instruments
  • Analyze adsorption/desorption data to extract surface area, pore size distributions, and pore volume
  • Synthesize porous materials (e.g., MOFs, zeolites, porous carbons) under guidance
  • Collaborate with experimentalists and machine learning scientists to refine workflows
  • Maintain detailed experimental records, data curation, and lab documentation
  • Operate and maintain instrumentation, ensure lab safety and SOP compliance
  • Support development and operation of high-throughput porosity measurement workflows

Education

  • Bachelor’s degree in Materials Science, Chemistry, Chemical Engineering, or related (required)
  • Master’s degree in a related field (preferred)

Benefits

  • Competitive salary and potential equity
  • Health, dental, and vision benefits
  • Flexible paid time off and holidays
  • Professional development and training opportunities
  • Collaborative, cross-functional research environment
  • Commitment to diversity, inclusion, and equal opportunity
To read the complete job description, please click on the ā€˜Apply’ button

Average salary estimate

$67500 / YEARLY (est.)
min
max
$55000K
$80000K

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DEPARTMENTS
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$55,000/yr - $80,000/yr
EMPLOYMENT TYPE
Full-time, onsite
DATE POSTED
September 14, 2025
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