About this role
e184 is a biotechnology research company focused on advancing in vitro gametogenesis to address reproductive challenges. The Bioinformatics Scientist will lead computational analysis of multi-modal genomics data to identify transcription factor combinations for cellular reprogramming, collaborating closely with wet lab teams to translate predictions into experimental designs.
Responsibilities:
- Lead end-to-end TF discovery for cellular reprogramming - from multi-platform single-cell genomics analysis (scRNA-seq, ATAC-seq) through GRN inference, differential analysis, and trajectory mapping - to nominate the regulators that flip cell fate
- Crack the combinatorial code of reprogramming by ranking TF cocktails as actionable combinations and decoding pooled perturbation and CRISPRa screens at single-cell resolution
- Read regulatory grammar straight off the chromatin - accessibility, motifs, synergy, repression - and build the data backbone that harmonizes modalities and platforms into something we can actually model on
- Sit shoulder-to-shoulder with wet lab teammates, closing the loop between predictions and screens: ingest fresh NGS readouts, retrain, re-prioritize, and pick the next experiment that teaches the model the most