Ideal candidate- Ph.D. in Computational Biology, Bioinformatics, Genomics, Computer Science or Molecular Biology.
Software programming exp, must be able to write script, understand the python language with bench work being a bonus. In depth understanding of genomic technologies including Illumina-based short read sequencing, PacBio SMRT platform and long-read Nanopore sequencing.
Hands-on experience in basic molecular biology techniques and NGS library preparation. Proficiency in scripting languages and associated packages, including but not limited to R, Python or Perl. Expertise with standard bioinformatics tools and statistical methods such as, but not limited to STAR, bowtie, bwa, samtools, bedtools.
Expertise with sequence and structural variant analysis method (e.g.GATK, FusorSV, Freebayes, delly,). Expertise with standard genome assembly approach and hybrid mapping method ( e.g. Metassembler, SOAPdenovo2, ALLPATHS-LG) Working experience with genome annotation and prediction method (e.g. Trinity, Maker) Experience developing and documenting analysis pipeline to integrate multi-omics data. Molecular biology techniques-DNA cloning, NGS library prep, Sanger sequencing and PCR technologies
Molecular Biology, Analytical Science, Computational Biology, Bioinformatics