E184
Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming
Portland, Oregon
Sponsorship not specifiedDetected 86 days ago
PythonCloud PlatformsMachine LearningNLPStatisticsAccessibilityBioinformaticsCRISPRNGSResearchLab ResearchCollaboration
About the role
- Crack the combinatorial code of reprogramming by ranking TF cocktails as actionable combinations and decoding pooled perturbation and CRISPRa screens at single-cell resolution.
- 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.
- PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years relevant industry experience);
Responsibilities
- Role overview As a Bioinformatics Scientist with a cellular reprogramming background, you will lead computational analysis of multi-modal genomics data (scRNA-seq, ATAC-seq) to identify transcription factor combinations driving desired cell state conversion.
- 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.
- 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.
Requirements
- Hands-on experience with established GRN inference methods to nominate or rank regulators of cell state, beyond literature-curated lists;
- Experience analyzing pooled perturbation screens (CRISPRa, CRISPR knockout, or barcoded TF overexpression) with single-cell or bulk readouts;
- Working knowledge of trajectory inference and pseudotime methods for mapping cell state transitions;
- Strong programming skills in Python and R, with proficiency in Scanpy/Seurat and statistical analysis for high-dimensional data;
- Experience with dynamical systems modeling for cell state transitions, or inverse problem approaches for TF combination ranking.
- Multi-modal genomics proficiency: ChIP-seq, CUT&RUN, or ATAC-seq analysis including peak calling, differential accessibility, and TF motif enrichment;
Company info
- Experience the creative chaos of an early-stage startup with the stability of a well-capitalized company.
- Best of both worlds: Experience the creative chaos of an early-stage startup with the stability of a well-capitalized company.
- About us e184 Repro is a biotechnology research company with the mission of advancing in vitro gametogenesis to solve one of biology's most profound challenges: returning the fundamental right to procreate.
This listing is sourced directly from E184's careers page and normalized into a canonical job model.