Job Details

  • Title: Bioinformatics Analyst
  • Code: RCI-18488
  • Location: North Chicago, IL 60064
  • Posted Date: 06/23/2022
  • Duration: 5 Months
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  Job Description

Title: Bioinformatics analyst



Job Description: 

  • We have an exciting contract opportunity for a Bioinformatics analyst within the Genomics Research Center to support a collaboration with the Eye Care group, supporting drug discovery and basic disease biology investigations.
  • The successful candidate will be responsible for all aspects of bioinformatics analysis for transcriptomics and other specialized NGS experiments including quality control, differential gene expression, and pathway enrichment.
  • The successful candidate will work closely with a senior computational biologist to ensure smooth communication across teams and timely delivery of results.
  • The ideal candidate must have previous experience in gene expression analysis, be comfortable using R to do data analysis, and have excellent communication skills. 

What hours and days will this person be working?

  • Typically between 9AM-5PM Central Time. 

What are the top 5 skills/requirements this person is required have?

  • Required Skill 1: Proficient in using R to do basic data analysis (processing, plotting…)
  • Required Skill 2: Differential gene expression statistical testing
  • Required Skill 3: Ability to communicate results to scientists with broad range of expertise
  • Required Skill 4: Familiarity with basics of statistical modeling
  • Required Skill 5: Comfortable working with NGS data (mostly Illumina short read technology) 

What years of experience, education, and/or certification is required?

  • B.S. in Bioinformatics/Biostatistics with 3+ years applicable experience or M.S. in Bioinformatics/Biostatistics with 1+ years experience.

 What is a nice to have (but not required) regarding skills, requirements, experience, education, or certification?

  • Experience working in Linux/Unix environment, including job submission using High Performance Computing (HPC) cluster.
  • Experience analyzing additional ‘omic data sets (e.g. scRNA-seq, proteomics, pooled CRISPR screens, spatial transcriptomics, Massively Parallel Reporter Assay).
  • Experience with gene ontology and pathway enrichment analysis.
  • Proficient in literature search to identify relevant public data sets to support and interpret internally generated results.
  • Experience with Limma and/or Dream for differential gene expression analysis with linear mixed models.
  • Experience working with NGS data from non-human animals.
  • Experience managing project(s) involving multiple stakeholders and facilitating information exchange

What is the environment that this person will be working in (i.e. group setting vs individual role)?

  • Group setting.

 Is any testing required for this role? No

 Does this position offer the ability to work remotely on a regular basis or is it an on-site role?

  • If remote opportunity exists, what are the options (i.e. 1 day remote, 4 days on-site)? YES, fully remote; on-site optional.

Other notable details about the environment from the hiring manager about this role.

  • This is a highly collaborative project involving members across different geographic sites and across diverse functions within R&D.

What positions/background experience do you feel are successful in this role.

  • Previous experience in gene expression and other NGS data analysis using R