Bioinformatics Analyst

University of Oklahoma; Oklahoma City (OK); On-site; USD 46,000 - 60,000; Full time

Benefits offered by this job

Benefits eligible

Job summary

The University of Oklahoma's Department of Molecular Genetics and Genome Sciences is seeking a Bioinformatics Analyst to join Dr. Jun Li's computational biology group.

The role supports genomics and epigenomics projects, performing statistical and computational analyses of complex data and contributing to collaborative investigations. You will develop reproducible workflows for technologies such as RNA-seq, ATAC-seq, single-cell, and spatial profiling, helping translate results into actionable

Qualifications

• Bachelor's degree in biology-related field with computational focus.
• Experience with statistical and computational analysis of high-dimensional genomic data preferred.

Responsibilities

• Perform statistical and computational analysis of high-dimensional genomic/epigenomic data.
• Interpret results in collaboration with investigators.
• Develop reproducible analytical workflows for RNA-seq, ATAC-seq, single-cell, and spatial profiling.

Education

Bachelor's degree in Biology, Neuroscience, Biochemistry, or Microbiology with a computational focus; Computer Science with a biological focus; or related discipline

Job description

Pay Range:Targeted pay range of $45,600 - $60,400 annually, depending on experience.

Benefits Eligible:Yes

Work Schedule:Monday - Friday, 8:00 a.m. to 5:00 p.m.

Travel:Not required

Position Introduction

The Department of Molecular Genetics and Genome Sciences is seeking a Bioinformatics Analyst to join Dr. Jun Li's computational biology group. The selected candidate will support the growing volume of collaborative genomics and epigenomics projects in the Department of Molecular Genetics and Genome Sciences. The Bioinformatics Analyst will perform statistical and computational analysis of high-dimensional genomic/epigenomic data, interpret results in collaboration with investigators, and develop reproducible analytical workflows for technologies such as RNA-seq, ATAC-seq, single-cell, and spatial profiling.

Required Education and Experience

• Bachelor's degree in a relevant field (e.g., Biology, Neuroscience, Biochemistry, or Microbiology with a computational focus; Computer Science with a biological focus; or a related discipline)

Hiring Contingent Upon a Background Check: Yes

Special Indications:Position subject to renewal based on availability of funds