Postdoc in Bioinformatics

University of Massachusetts Medical School
Worcester, , United States
Job Type:
  • Postdoctoral
Degree Level Required:
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Postdoc in Bioinformatics

This is a unique opportunity for building, testing, and refining computational models to create more accurate means for safe harbor site detection. The person hired for this position will lead the data handling, analysis, and algorithm development efforts. As such the ideal candidate will be intimately familiar with machine learning, classification and clustering algorithms, sequencing technologies and have a working knowledge of computational biology.


The broad categories for the bioinformatic fellow’s project include: • Develop algorithms to automate the process of identifying genomic safe harbors from the current (and increasing) database of over 200 potential GSH loci in dozens of phylogenetic taxa. • Evaluate GSH loci across related species • Identify GSH homologues in mouse and human genomes. • Comparative genomics approach based on collinearity / synteny of sub-chromosomal regions between test-species and human and mouse genomes. • Assess suitability of potential GSH loci using available RNAseq and ATAC databases. • Genomic editing - gRNAs and homology arms optimizations. • Transcriptomics - analyze RNA seq data from engineered B-cells, determine effects of editing on transcriptional homeostasis of B-cell lines and primary cells.


Ph.D in Bioinformatics, Computational Biology, Physics, Computer Science, Statistics or related field ● Working knowledge of computational biology and sequencing technologies ● Fluency in at least one scripting language (e.g. Python, Perl) ● Strong publication record and excellent communication skills ● Excellent organization and time management skills ● Must be able to handle a variety of tasks and to adapt to a highly dynamic environment