Bioinformatics Analyst II (Genetics Focused) Job at cGxPServe, Lake County, IL

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  • cGxPServe
  • Lake County, IL

Job Description

Job description:

We are seeking a motivated Bioinformatics Scientist to join our cross-function team and support target identification and evaluation efforts. The successful candidate will work in synergy with cross-functional and inter-organizational teams of research scientists to apply, refine, and expand established workflows for effective multi-omic data curation and analysis. This role will have a heavy emphasis on the curation and analysis of genetics data.

Requirements:

  • Master's degree with 2+ years experience or PhD in quantitative sciences (Bioinformatics, Computer Science, Computational Genetics, Mathematics, Statistics, or a related field).
  • Experience with genome-wide association studies, particularly fine mapping and QTL colocalization from GWAS summary data is a plus.
  • Familiarity with methods to prioritize genes per GWAS locus given multiple lines of evidence is a plus.
  • Familiarity with rare disease genetics resources and biomedical ontologies is also a plus.
  • Demonstrated experience in the analysis and integration of NGS data.
  • Familiarity with the construction and execution of bioinformatics workflows.
  • Strong proficiency in R and/or Python programming for bioinformatics workflows.
  • Knowledge and proficiency in basic statistical concepts.
  • Proficiency in operating in a Unix/Linux and High-Performance Computing (HPC) environment.
  • Experience with code reproducibility, e.g. managing github repositories.
  • Prior research experience in studying immunological diseases areas is a plus.
  • Experience with Nextflow is a plus.

Skills:

  • Experience with genome-wide association studies, particularly fine mapping and colocalization from GWAS summary data is a plus. Familiarity with rare disease genetics resources and biomedical ontologies is also a plus.
  • Ability to critically evaluate experimental design, QC and suggest improvements.
  • Strong proficiency in R and/or Python programming for bioinformatics workflows
  • Experience working in HPC and cloud environment.
  • Experience with code reproducibility, e.g. managing github repositories.

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