Executive summary: Postdoc positions in Synthetic Biology, Genomics, and Developmental Biology
for candidates with experience in Synbio, Omics, DevBio, or related fields.                                                  

We are looking for postdoctoral fellows to join the Kalhor Lab at Johns Hopkins University School of Medicine. These NIH-funded positions are flexible in scientific scope but are broadly centered around developing lineage barcoding and genomic recording technologies, studying cell fate transitions using retrospective barcoding approaches (in cultured cells, zebrafish, mouse, and NHPs), and/or studying epigenetic transformation of the genome during brain development.

The Kalhor Lab uses molecular recording, genomics, and computational approaches to understand embryogenesis across multiple model systems in health and disease. Related publications include Kalhor et al. 2017 Nature Methods [1], Kalhor et al. 2018 Science [2], and Fang et al. 2022 Cell [3]. We pride ourselves in maintaining a creative, stimulating, and collaborative environment wherein researchers put their ideas test and obtain expertise in technology development and quantitative approaches while studying important questions in developmental biology. We also benefit from collaborating with world-leading experts at Johns Hopkins University and beyond.

Candidates must hold a doctorate degree and have relevant experience in molecular biology, genomics, developmental biology, biomedical engineering, or related fields. The ideal candidate would be scientifically driven, curious, organized, and a self-starter. The ideal candidate would further have a record of presenting research results through publications as well as good interpersonal and communication skills.

Interested applicants should email their CV, a cover letter describing current interests and future objectives, and contact information for three references to Dr. Kalhor (kalhor [at] jhu.edu). We encourage applications from underrepresented or minority groups. More information is available at https://kalhorlab.bme.jhu.edu.

References

1. Kalhor R, Mali P, Church GM. Rapidly evolving homing CRISPR barcodes. Nat Methods. 2017;14: 195–200. doi:10.1038/nmeth.4108
2. Kalhor R, Kalhor K, Mejia L, Leeper K, Graveline A, Mali P, et al. Developmental barcoding of whole mouse via homing CRISPR. Science. 2018;361: 927–36. doi:10.1126/science.aat9804
3. Fang W, Bell CM, Sapirstein A, Asami S, Leeper K, Zack DJ, Ji H, Kalhor R. Quantitative fate mapping: A general framework for analyzing progenitor state dynamics via retrospective lineage barcoding. Cell. 2022;185: 4604-4620.e32. doi:10.1016/j.cell.2022.10.028