- 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
- Speaks clearly and expresses self well in one-on-one conversations and groups;·
- Seeks to apply technology and innovation to improve efficiency and solve problem
- Effectively manages own time and resources;
- Identifies, defines and analyzes information and situations before recommending a course of action;
- Assumes responsibility to ensure issues/concerns will be addressed and monitors them through conclusion;
- Develops effective relationships with peers, students and employees;
- Interacts and proactively shares information with internal and external contacts where appropriate;
- Develops effective written communications and uses them appropriately;
USD $60,000.00/Yr.
USD $70,000.00/Yr.
The Laboratory of Dr. Robert Burk is seeking a Bioinformatics Analyst to work with a group of scientists studying human papillomavirus, microbiome and cervix neoplasia. The ideal candidate will have a background in epidemiology, computer science and/or bioinformatics. He/She will be responsible for processing next-gen sequencing data, maintaining data and pipelines, performing epidemiological analyses including multivariate logistic regression.
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