Job Posting

Title Cardioinformatics Research Internship
Company University of Chicago

Status: Successful applicants may receive research class credits (if applicable) and/or research mentorship/publication opportunities; open to undergraduate students, graduate students, visiting scholars, etc. Duration: 3-12 months.

Job Description: Work together with a computational genetics PhD and team of scientists to design and implement bioinformatics and computational biology methods and tools to analyze human genomic data and drive discoveries in human health, with a focus on heart health and disease. Cardiovascular disease is the leading cause of death worldwide, causing over 17 million deaths per year.

Relevant publications: • Khomtchouk BB, Vand KA, Koehler WC, Tran DT, Middlebrook K, Sudhakaran S, Nelson CS, Gozani O, Assimes TL: “HeartBioPortal: An Internet-of-Omics for Human Cardiovascular Disease Data." Circulation: Genomic and Precision Medicine. 2019, 12(4):e002426. • *Khomtchouk BB, *Tran DT, Vand KA, Might M, Gozani O, Assimes TL: “Cardioinformatics: the nexus of bioinformatics and precision cardiology." Briefings in Bioinformatics. 2019, bbz119. (* indicates joint-first author) • Gidlöf O, Johnstone AL, Bader K, Khomtchouk BB, O’Reilly JJ, Celik S, Van Booven DJ, Wahlestedt CR, Metzler B, Erlinge D: “Ischemic preconditioning confers epigenetic repression of Mtor and induction of autophagy through G9a-dependent H3K9 di-methylation.” Journal of the American Heart Association. 2016, 5:12, pp. 1--27.

Relevant press:

Preferred Qualifications:
• Interest in gaining hands-on experience working with very large genomic datasets, multi-omics, and integrative bioinformatics strategies.
• Basic working knowledge of either: next-gen sequencing (NGS) techniques, biostatistics methodologies, and/or bioinformatics or computational biology pipelines.
• Experience or interest working with large scale genomic data (e.g. RNA-seq, ChIP-seq, single cell-seq, ATAC-seq, genotype data, etc.).
• Desire to apply your skills in genomics analysis to utilize bioinformatics methods (e.g. from Bioconductor) to understand the biology of cardiovascular disease phenotypes.
• Comfortable writing code in languages like R or Python for bioinformatics analysis and/or proficiency in Unix shell scripting.
• Familiarity/experience/interest with JavaScript programming, frontend frameworks (e.g, Vue, React, etc.), or various NGS algorithms (e.g., Bowtie, BLAST, PLINK, etc.) is a plus.

Location Department of Medicine, Section of Computational Biomedicine and Biomedical Data Science, Institute for Genomics and Systems Biology
URL http://
Deadline 16 May 2020

Computer Science
Job Type Internship
Attachment UChicago_cardioinformatics_internship.pdf