Bioinformatician

Department

BSD MED - Pulmonary - Mutlu Research Staff

About the Department

The Pulmonary & Critical Care section conducts clinical and research activities relevant to respiratory diseases and related physiology.

Job Summary

The Mutlu laboratory is focused on discovering the mechanisms by which altered cellular metabolism regulates responses to toxin exposure and injury in the lung. We focus on cellular and mouse models of lung injury and use metabolomic, transcriptomic, and epigenomic methods to determine how these injury responses regulate metabolism and gene expression in vitro and in vivo. Specifically, using RNAseq, scRNAseq, ATACseq, and RiboSeq to measure gene transcription, chromatin configuration, and RNA translation. The candidate will perform research in the lab and develop and implement bioinformatic analysis. The Bioinformatician will interact with other laboratory members under the direction of Dr. Mutlu.

Responsibilities

• Leads and assists research projects that integrate multi-omic data (bulk RNA sequencing, single cell RNA sequencing, ATAC sequencing, genotypes), statistical tool development and computational analyses.

• Manipulates publicly accessible, commercial, or proprietary genomic, proteomic, or post-genomic databases.

• Provides professional support to staff or faculty members in defining the project and applying principals of data science in manipulation, statistical applications, programming analysis and modeling.

• Applies basic application of computational tools and information technology to gather, analyze and visualize data in biology and biomedical research.

• Interprets data analysis of high throughput genomics, proteomics and genetic data.

• Performs other related work as needed.

Minimum Qualifications

Education:

Minimum requirements include a college or university degree in related field.

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Work Experience:

Minimum requirements include knowledge and skills developed through 2-5 years of work experience in a related job discipline.

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Certifications:

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Preferred Qualifications

Education:

• Advanced degree in Bioinformatics, Computational Biology, Computer Science, Mathematics or a related field.

Technical Skills or Knowledge:

• Experience in programming for bioinformatics with scripting languages such as Python and R.

• Experience with next generation sequencing data analyses such as STAR, GATK, samtools, Bioconductor, PLINK and other tools.

• Experience with single cell genomics analysis software such as Seurat, scanpy, ArchR, or similar.

• Working knowledge of basic cell biology lab techniques including cell culture, Western blot, qPCR, etc.

• Working knowledge of cellular metabolic pathways.

Preferred Competencies

• Knowledge of theoretical and applied statistics.

• Knowledge of research techniques or methods.

• Ability to work independently and as part of a team.

• Ability to write research publications.

• Ability to work on multiple projects simultaneously, set priorities and meet deadlines.

• Ability to work with teams of clinicians, biologists, bioinformaticians and/or biostatisticians to provide hands-on technical support.

Application Documents

• Resume/CV (required)

• Cover Letter (required)

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Job Family

Research

Role Impact

Individual Contributor

FLSA Status

Exempt

Pay Frequency

Monthly

Scheduled Weekly Hours

40

Benefits Eligible

Yes

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Posting Statement

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

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