We are looking for exceptional self-motivated candidates interested in developing and applying cutting-edge genomic technologies to study molecular basis of neurodevelopmental diseases. Qualified candidates must have a Ph.D. or equivalent in Computer Science, Biology, Bioinformatics, Mathematics, Engineering or related field, and expertise in genomics, statistics, or systems biology. Programming skills in Python and/or R are required, and familiarity with single cell data processing and analyses is a plus. To learn more about our research, check out these papers:
1. Urresti J, …et al…, Muotri AR, Iakoucheva LM. Cortical organoids model early brain development disrupted by 16p11.2 Copy Number Variants in autism. Mol Psychiatry, 2021, Aug 26. www.nature.com/articles/s41380-021-01243-6 PMID: 34433918
2. Amar M, …et al…, Muotri AR, Iakoucheva LM. Autism-linked Cullin3 germline haploinsufficiency impacts cytoskeletal dynamics and cortical neurogenesis through RhoA signaling. Mol Psychiatry. www.nature.com/articles/s41380-021-01052-x PMID: 33727673
3. Chau K, … et al…, Iakoucheva LM. Full-length isoform transcriptome of the developing human brain provides further insights into autism. Cell Reports, 2021, doi.org/10.1016/j.celrep.2021.109631 PMID: 34469739
Programming skills in Python and/or R are required, and familiarity with single cell data processing and analyses is a plus