- Waltham, Massachusetts, United States
- On-site
- Full-time · Staff
- $125K–$165K per year
- 3–10 years
Engineer and optimize gene editing proteins by combining machine learning and protein language models with hands-on laboratory research.
Compensation
The budgeted range for this position is $125,000 - $165,000.
Responsibilities
- Carry out directed evolution campaigns to improve activity and specificity of gene editing proteins
- Generate protein libraries and variants through molecular cloning, mutagenesis, and related engineering approaches
- Design and engineer gene editing proteins using sequence and structural analysis, machine learning, and protein models
- Develop and execute iterative cycles that connect computational predictions with experimental results
- Develop and perform biochemical and cell-based assays to evaluate gene editing efficiency, specificity, and performance
Requirements
- Ph.D. in scientific discipline
- M.S
- Nice to have: CRISPR-associated nucleases
- Nice to have: Base editors
- Nice to have: Large serine recombinases