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Position: Bioinformatics Analyst
Institution: Albert Einstein College of Medicine
Location: United States
Duties: Utilize existing pipelines to process and analyze high-throughput sequencing data, including amplicon sequencing, bisulfite sequencing, metagenomics, viral integration; Manage, organize all bioinformatics sequencing data in the lab. Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic data; Construct phylogenic trees; The individual will be responsible for downloading large Fastq, BAM and/or Fasta files for analyses. Must have experience using existing software tools and modifying R scripts. Should be able to generate figures, and perform epidemiological analyses. The lab routinely uses barcoding primers for multiplex NGS runs which require demultiplexing and analyses
Requirements: Bachelors degree and at least one year experience with a strong focus on epidemiology, computational biology and some experience in bioinformatics. An interest or experience in evolution and/or microbiology is desirable; The candidate must have expertise in R or Python; Experience in microbiome bioinformatic processing preferred
   
Text: Bioinformatics Analyst Utilize existing pipelines to process and analyze high-throughput sequencing data, including amplicon sequencing, bisulfite sequencing, metagenomics, viral integration; Manage, organize all bioinformatics sequencing data in the lab. Including papillomavirus sequence, microbiome data, both 16S and other, and human genomic data; Construct phylogenic trees; The individual will be responsible for downloading large Fastq, BAM and/or Fasta files for analyses. Must have experience using existing software tools and modifying R scripts. Should be able to generate figures, and perform epidemiological analyses. The lab routinely uses barcoding primers for multiplex NGS runs which require demultiplexing and analyses Bachelors degree and at least one year experience with a strong focus on epidemiology, computational biology and some experience in bioinformatics. An interest or experience in evolution and/or microbiology is desirable; The candidate must have expertise in R or Python; Experience in microbiome bioinformatic processing preferred
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