Boston, Massachusetts30+ days ago
li>Maintain transparent, reproducible records in Benchling or equivalent ELN or file system including experimental study design details, execution processes, experimental outcomes, analytical workflows, parameters, thresholds, and file naming conventions when necessary that allow any team member to independently trace and evaluate results; contribute to the development of SOPs and technical documentation for established protocols as needed. We take a full-stack approach, generating perturbation data at over 1,000x the efficiency of conventional methods, capturing millions of time-resolved treatment combinations per experiment, and training large-scale models that generalize across contexts to enable rational protocol design for regenerative medicine, context-specific drug effect prediction, and systematic disease modeling.