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Research Associate, Protein Science, Cell-Free Expression

Lila Sciences - Cambridge, MA USA

Posted May 2, 2026

Benefits

Parental leave
Not verified
Non-birth-parent leave
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Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
Offered From the posting source checked Jun 20, 2026
Verification
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Salary
$72K-$96K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$81,444 U.S. median for this role
Projected growth (BLS Employment Projections)
+6.9% - Faster than average

3% above the BLS role benchmark for healthcare aggregate.

Matched to SOC 29-1141 - Healthcare aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Healthcare From the posting source checked Jun 20, 2026
Seniority
Mid From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
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Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Research Associate, Protein Science, Cell-Free Expression Cambridge, MA USA Your Impact at LILA Lila is seeking a dedicated and skilled Research Associate, Protein Sciences to join our high through-put Cell-Free Expression platform. As a Research Associate, you will play a vital role in our interdisciplinary research efforts focused on building and automating artificial intelligence-driven processes across a variety of valuable applications. What You'll Be Building - Development and refinement of cell-free expression systems for efficient protein synthesis. - Optimize conditions for high-yield and high-quality protein production - Prepare media and solutions for cell culture and processing - Perform molecular cloning, mutagenesis, and other genetic manipulation for strain development. - Demonstrate proficiency in operating and utilizing liquid handlers and robotic systems for automated laboratory processes. - Collaborate with biologists, machine learning scientists, software developers, and other engineers to develop and optimize AI-driven processes. - Track and maintain excellent data records in formats amenable to computational workflows. - Analyze and interpret experimental data, prepare technical reports, and present findings to internal teams and stakeholders. What You'll Need to Succeed - A bachelor's or master's degree in biochemistry, molecular biology, biotechnology, biological engineering, chemical engineering, or a related field. - 1-3 years of laboratory experience - Experience with cell culture techniques, including growth, maintenance, and transformation, across a variety of cell lines - Familiarity with plate-based assays - Excellent attention to detail, organization, and communication Bonus Points For - Skilled in cloning, expression and optimization of protein - Data analysis using relevant software

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