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
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
- Not verified
- Relocation assistance
- Not verified
- Childcare support
- Not verified
- Learning budget
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- Verification
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- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
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Market context
- Median wage (BLS OEWS)
- $111,944 national median
- Projected growth (BLS Employment Projections)
- +13.7% - Much faster than average
25% below the BLS national median for data and ml aggregate.
Matched to SOC 15-1252 - Data and ML aggregate by role bucket.
Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.
Schedule
- Shift type
- Not verified
- Weekend work
- Not verified
Application
- Cover letter
- Not verified
- 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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