Hybrid Bioinformatician: Genomics & Metagenomics Analytics

Loyola University Chicago; Chicago (IL); Hybrid; USD 62,000 - 65,000; Full time

Job summary

Loyola University Chicago is seeking a Bioinformatician to perform analyses on sequencing data and develop scripts under the guidance of the Principal Investigator. The role emphasizes genomic data analysis, UNIX-based workflows, and collaborative data interpretation.

The candidate will contribute to experimental design, data interpretation, and dissemination of results within a hybrid work model across campus laboratories.

Qualifications

• Master's degree or Ph.D. in Computer Science, Genetics, Molecular Biology, Bioinformatics, Computational Biology, Biostatistics, or related fields.
• A minimum of 3 years experience in biomedical research.
• Genomic data analysis expertise.

Responsibilities

• Carries out bioinformatic analyses under the guidance of the Principal Investigator
• Analyzes data from 16S rRNA gene sequencing, whole microbial genome sequencing and shotgun metagenomic sequencing
• Develops ad hoc scripts (bash, R and Python) for data analysis
• Familiarity with UNIX-based systems
• Organizes, records, and presents data
• Assists other lab members in fundamentals of bioinformatic analysis
• Assists PI, research staff and student with experimental design, data interpretation, and project dissemination

Skills

Bioinformatics

R

Python

bash

UNIX

Data analysis

Education

Master's degree or Ph.D. in Computer Science, Genetics, Molecular Biology, Bioinformatics, Computational Biology, Biostatistics, or related fields

Tools

MS Office

UNIX/Linux

Job description

Loyola University Chicago is seeking a Bioinformatician to perform analyses on sequencing data and develop scripts under the guidance of the Principal Investigator. The role emphasizes genomic data analysis, UNIX-based workflows, and collaborative data interpretation.

The candidate will contribute to experimental design, data interpretation, and dissemination of results within a hybrid work model across campus laboratories.