Bioinformatics Scientist

at Rush University Medical Center in Chicago, Illinois, United States

Job Description

Job Title: Bioinformatics Scientist

Job Duties: Rush University Medical Center seeks a Bioinformatics Scientist in Chicago, IL to perform integrative analysis of high throughput genomic, metagenomic, transcriptomic and meta-transcriptomic data. Advise sequencing core staff on the appropriate number of samples, methodology, sequencing platform, and depth of sequencing for investigator-driven projects. Evaluate data quality and communicate with sequencing core to achieve best quality results for investigators. Work on multiple investigator-driven projects simultaneously. Analyze next-generation sequence data including data from whole genome/exome sequencing, single cell RNAseq (scRNAseq), spatial transcriptome sequencing, shotgun metagenome/meta-transcriptome sequencing, bulk RNAseq, Chromatin immunoprecipitation sequencing (ChIP-Seq), ATAC-seq (including single cell multi-ome ATACseq), methyl-seq, CRISPR screens, and amplicon seq using previously developed and custom pipelines. Perform data analysis using R, Python, Perl, and bioinformatic software packages. Increase analysis throughput using Bash scripting. Work with investigators to interpret and disseminate results, including grant preparation, report and manuscript preparation. Responsible for core facility functioning, including quoting and invoicing, methodological development for future projects, and SOP development. Maintain data storage and file transfers in remote compute clusters (e.g., Azure Cloud, AWS, etc), Illumina Basespace, and OneDrive. Deposit sequence data to establish repositories, including GEO and SRA. Install and validate software for data analysis and visualization.  Ensure compliance with governmental and university policies. Local telecommuting permitted up to 3 days per week.

Minimum Requirements: Position requires Master’s degree in Bioinformatics or a related field plus 3 years of experience with genomic or transcriptomic data analysis. 3 years of experience must include 3 years of the following: 1) analysis of single cell omics research, spatial omics research, microbiome research, shotgun metagenome/meta-transcriptome sequence analysis, whole genome sequence analysis, or genomic epidemiology; 2) Determining best approaches for data analysis, visualization, and interpretation; 3) Advising on best practices on experimental design, sequencing approach, and data analysis; 4) multi-omics and longitudinal omics analysis; 5) Analyzing data using R, Bash, Perl, and Python; 6) Cloud-based computing; and (7) Writing reports and developing SOPs.

Email resume to Ann_Bretzer@rush.edu or apply online at https://www.rush.edu/careers. Cite job number “00185” in the response.