Senior Bioinformatics Analyst

University of Oklahoma • Oklahoma City, OK

46d

About The Position

The Zimmerman lab at OUHSC is broadly focused on understanding the function of monocytes and tissue resident macrophages in mouse models of polycystic kidney disease (PKD), acute kidney injury (AKI), and heart failure with preserved ejection fraction (HFpEF) using state-of-the-art techniques including single cell RNA sequencing (scRNAseq) and spatial transcriptomics. Using omics’ approaches, we have defined how disease sequalae alters macrophage phenotype in mouse models and developed monocyte/macrophage specific knockout mice to test the functional importance of predicted cytokines in vivo. We have also set our sights on understanding how omics data from human patients cross-references across model systems including mice, rat, and organoids using deep learning approaches. Responsible for developing and performing bioinformatics analysis to support research investigators in their projects primarily for the analysis of genomics, proteomics, metabolomics and lipidomics data sets. Engages with investigators during the experimental design phase to ensure resulting data sets properly address research inquires. Oversight of computing clusters, either on campus, at remote sites, or in the cloud.

Requirements

• 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) AND: 72 months of experience applying bioinformatics analysis to large data sets in the biomedical research field.
• Equivalency/Substitution: Will accept a Master's degree in a biological science with 48 months of experience OR a PhD in biological science with 24 months of experience.
• Proficient in computer programming languages used for bioinformatics analysis such as R and Python or other applicable languages such as PHP, Java, and Perl as well as MySQL databases
• Knowledge of Unix, Linux, and Windows operating systems
• Well versed in bioinformatics and systems biology with knowledge in machine learning tools preferred
• Knowledge of database design and maintenance
• Excellent communication and presentation skills
• Ability to manage multiple projects at the same time
• Ability to work independently and as a team member
• Proven experience in fostering and maintaining relationships with investigators

Nice To Haves

• Well versed in bioinformatics and systems biology with knowledge in machine learning tools preferred

Responsibilities

• Analyzes large data sets for genomics, proteomics, metabolomics, and lipidomics projects including exporting data from the producing instruments to the computing cluster.
• Draws conclusions from data analysis and interfaces with investigators to discuss conclusions.
• Maintains data storage and databases for high throughput data archiving and analysis, as well as deposition of into public repositories.
• Trains investigators and students in various bioinformatics analysis approaches and software packages.
• Maintains computing clusters through installation of software packages related to bioinformatics analysis.
• Oversight and maintenance of access to computing clusters, either on site, off site, or in the cloud.
• Ensures computing equipment is sufficient to properly support the bioinformatics needs of investigators.
• Pursues continuing education to ensure the latest technologies, programming language developments, and approaches are implemented for support investigators and enhance job performance.
• Performs various duties as needed to successfully fulfill the function of the position.

Benefits

• At OUHC, we value our employees and are proud to offer a comprehensive benefits package that supports both personal and professional well-being.
• Team members enjoy generous paid time off, including an extensive holiday schedule, along with robust healthcare benefits to keep you and your family healthy.
• We offer a competitive retirement plan to help you plan for the future, and our tuition waiver program provides educational opportunities for both employees and their eligible dependents.
• Join a collaborative and mission-driven environment where your work makes a difference every day.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees