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Posted 20 hours ago
Scientist I/II, mRNA Translation Dynamics
Lila SciencesScientist I/II, mRNA Translation Dynamics
Perks & benefits
Medical InsuranceHealth InsurancePaid LeaveCommissionEducation AllowanceRelocation Allowance
Requirements
MSc with 4+ years experience or PhD, Expertise in mRNA biology, Experience with polysome profiling and Ribo-seq, Quantitative analytical skills
Skills
Python
About the role
Responsibilities
- Design and execute high-throughput pooled screening campaigns to interrogate mRNA translation dynamics
- Develop and optimize cell-free and in-cell assay systems for quantitative measurement of translation efficiency
- Collaborate with computational and ML teams to define data requirements and validate model predictions
- Establish and refine next-generation library design strategies using combinatorial approaches
- Analyze and interpret complex biological datasets to provide actionable insights
- Contribute to the development of automated experimental pipelines
Requirements
- MSc with 4+ years of industry or academic experience, or PhD in a relevant field
- Deep expertise in mRNA biology and translation regulation
- Experience with NGS-based assays such as polysome profiling and Ribo-seq
- Strong quantitative and analytical skills for handling large-scale biological datasets
- Excellent communication and interdisciplinary collaboration skills
Preferred Qualifications
- Experience integrating experimental data with machine learning or computational modeling
- Proficiency in Python, R, or other scripting languages
- Background in generating and screening complex, high-diversity sequence libraries
- Familiarity with laboratory automation and liquid handling systems
- Experience with in-situ sequencing of RNA (e.g., STARmap, Ribomap)
About the Company
Lila Sciences is building Scientific Superintelligence™ to solve humankind's greatest challenges. LILA combines advanced AI models with proprietary AI Science Factory™ instruments into an operating system for science that executes the entire scientific method autonomously.
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Lila Sciences · Cambridge
