Bioinformatics Analyst

Overview

Join the Zimmerman lab at OU Health Sciences Center as a Bioinformatics Analyst. The lab focuses on understanding monocyte and macrophage biology in mouse models of kidney disease, acute kidney injury, heart failure, and beyond using advanced single-cell and spatial transcriptomics, proteomics, and deep learning.

• Provide bioinformatics support for research projects, including data collection, database management, and script writing.
• Analyze sequencing and proteomic data, run statistical analyses, and build predictive models.
• Develop and maintain relational databases for high-throughput data storage and analysis; assist with public database submissions.
• Provide training and support to investigators on bioinformatics software and workflows.
• Install and update bioinformatics software packages.
• Respond to end‑user queries and troubleshoot data‑analysis issues.
• Collaborate on experimental design and interpretation of results with principal investigators.

• Bachelor’s degree in Biology, Computer Science, or a related field with a computational focus.
• Experience with next‑generation sequencing data analysis (RNA‑seq, ChIP‑seq, exome) and proteomics.
• Proficiency in Unix/Linux, Windows, scripting languages (Python, Perl, PHP, Java).
• Knowledge of MySQL databases and data‑science programming.
• Statistical analysis experience in a research environment.
• Strong communication skills, both verbal and written.
• Ability to work independently and collaboratively as part of a team.

• Sit for prolonged periods.
• Manual dexterity; performing repetitive tasks.
• Standard office environment.

Competitive salary range $21,000‑$23,000 per year, stable full‑time position, and a collaborative research environment at the University of Oklahoma.

The University, in compliance with all applicable federal and state laws and regulations, does not discriminate on the basis of race, color, national origin, sex, sexual orientation, marital status, genetic information, gender identity/expression, age, religion, disability, political beliefs, or veteran status in any of its policies, practices, or procedures.