Bioinformatics Scientist - Gene Regulation & Cellular Reprogramming

PhD in Bioinformatics, Computational Biology, or related quantitative field (or MS with 5+ years relevant industry experience);

Demonstrated track record applying computational TF ranking and GRN inference to cellular reprogramming problems, transdifferentiation, directed differentiation, or iPSC systems;

Multi-platform single-cell RNA-seq expertise: hands-on analysis from at least two different platforms, including platform-specific troubleshooting and quality control;

Multi-modal genomics proficiency: ChIP-seq, CUT&RUN, or ATAC-seq analysis including peak calling, differential accessibility, and TF motif enrichment;

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;

Comfortable working in a modern computational environment: cloud platforms, workflow managers, containerization, and collaborative version control;

Strong publication record and demonstrated cross-functional collaboration with experimental biologists.