Scientist I/II, mRNA Translation Dynamics
Core
Develop high-throughput pooled screening workflows (polysome profiling, Ribo-seq) to generate biological datasets for LILA's machine learning models, integrating synthetic biology and high-throughput experimentation.
Role type
Scientist I/II, mRNA Translation Dynamics
Builds
High-throughput experimental pipelines and rich biological datasets for AI-driven discovery
Domain
Synthetic biology / mRNA translation dynamics / AI science
Deliverable
production ML models
Required skills
mRNA biology and translation regulation expertise, next-generation sequencing assays (polysome profiling, Ribo-seq), quantitative analysis of large-scale biological datasets, library design strategies, cell-free and in-cell assay development
Preferred skills
Machine learning data integration, Python/R scripting, complex sequence library screening, laboratory automation, in-situ RNA sequencing with imaging
Technologies
Polysome profiling, Ribo-seq, STARmap, Ribomap
Responsibilities
Design and execute high-throughput pooled screening campaigns; Develop and optimize cell-free and in-cell assay systems; Collaborate with computational and ML teams to validate model predictions; Establish and refine next-generation library design strategies; Analyze and interpret complex biological datasets; Contribute to automated experimental pipeline development
Seniority
Mid-level Scientist (MSc +4 years or PhD)