University of Chicago
Members of the Spitz lab form a dynamic and interdisciplinary team using integrative experimental and computational approaches to understand how the structural organization of the genome influences genomic functions and notably gene expression. We use and develop novel in vivo genomic and chromatin engineering strategies in cell lines and animal models to uncover how changes in genome’s contents and organization may contribute to animal evolution, human developmental abnormalities and cancers. Our Unit is located in the Department of Human Genetics in the Hyde Park campus of the University of Chicago. The Department is the home within the Division of Biological Sciences for the study of basic principles of genetics and genomics as applied to human disease and constitutes a highly collaborative and supportive research environment. Our highly faculty bridge between basic and clinical research, and provide broad training in experimental and computational genetics and genomics, statistical and population genetics, bioinformatics to both students, postdocs and staff members, preparing them for careers in academia, industry, and medicine.
About the Department
The lab combines cutting-edge genomic technologies (Hi-C, ChIP-Seq, ATAC-Seq …), single-cell transcriptomics, and functional genetics in engineered mouse models and cell lines to investigate how genomic information governs normal embryonic development and how variations in this information could contribute to human diseases.
The Computational Scientist/Bioinformatician will apply and develop new tools to process, integrate, analyze and visualize large genomic data sets generated in the lab (e.g. ChIP-Seq, ATAC-Seq, Hi-C,). The position offers extensive possibilities for creative work on important scientific problems in collaboration with other members of the group as well as opportunities to develop a personal research project.
Administers programs and support all phases of bioinformatics activities by helping devise or modify procedures to solve complex problems.
Interprets data analysis of high throughput genomics, proteomics and genetic data.
Install and apply existing computational pipelines to analyze genomic (ChIP-Seq, ATAC-Seq, Hi-C etc. …) and single-cell transcriptomics data.
Evaluate and stay up to date with new genomic/genetic analysis tools.
Develop computational and statistical tools to answer specific questions related to animal genomics and transcriptomics.
Train and support members of the lab for the analysis of the different data they generate.
Contribute to preparation of scientific publications and grants.
Organize and maintain the lab computational infrastructure and resources, including storage of lab data resources.
Participates in creating data algorithms and specialized computer software to identify and classify components of a biological system (i.e. DNA and protein sequences).
Applies basic application of computational tools and information technology to gather, analyze and visualize data in biology and biomedical research.
Performs other related work as needed.
Education:Minimum requirements include a college or university degree in related field.
Bachelor's degree in computer science, bioinformatics, statistics, engineering or relevant field.
Prior experience with the analysis of NGS datasets (RNA-seq, ChIP-seq, DNA-seq …), R/Bioconductor, scripting languages (e.g. Python, C++) and a UNIX/LINUX environment is a must.
Experience in analyzing single-cell sequencing data and/or a strong background in statistics will be an asset.
Ability to work autonomously, to prioritize and manage workload to meet critical project milestones and deadlines.
Ability to work in a collaborative team environment.
Excellent organizational skills and attention to detail. Documentation and Communication are an important part of the responsibilities associated with the position.
List of three references (required)
When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.
Scheduled Weekly Hours
Drug Test Required
Health Screen Required
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