Bioinformatics Scientist - Computational Biology

Nationwide Children's Hospital
Research Institute - Kidney Research
United StatesOHColumbus


The Bioinformatics Scientist in the Kidney and Urinary Tract Center at The Abigail Wexner Research Institute at Nationwide Children’s Hospital will be responsible for working with laboratory-based scientists and trainees to perform computational and bioinformatic analyses, to provide training, and to develop new computational approaches. The Scientist will work with all members of the Center, including Principal Investigators, Staff Scientists, technicians, and trainees at all levels. Excellent verbal and written communication skills will be essential as the individual will work collaboratively with scientists on projects that lead to publications and presentations at professional meetings. Flexibility is also important as the Scientist will likely support wide-ranging projects of different scientific focus.

• Analysis and visualization of RNA-seq, ChIP-seq, and other next generation sequencing-derived large data sets
• Interface and integrate with other bioinformatic/computational-biology/research informatics teams on campus
• Evaluate and integrate community-developed and commercial bioinformatics tools
• Develop new computational analytic tools
• Manage center resources for storage and analysis of large datasets
• Obtain, process, and analyze datasets from outside sources, such as NCBI Small Read Archive and individual labs and assist research teams in uploading to those databases
• Take a lead role in our research collaborations to analyze genome sequencing data in order to identify the genetic causes of urinary tract infections and congenital malformations
of the kidney and genitourinary tract
• Assist with supervision and training of postdocs, fellows, students, and staff, for basic bioinformatic approaches
• Author journal publications and present at professional meetings


Minimum Qualifications
• Advanced degree in Bioinformatics, Computational Biology, or Biology, Molecular Biology, etc., with postdoctoral bioinformatic experience
• Two + years experience in computational biology or bioinformatics
• Experience with UNIX/LINUX, including proficiency in shell scripting
• Proficiency in a scripting language, such as Perl or Python
• Expert knowledge of core bioinformatics databases and tools, including programs for analysis of scRNAseq such as Seurat, SoupX, Harmony, and Monocle 2
• Exceptionally deep computational understanding and strong programming skills
• Excellent verbal and written communication skills will be essential

Additional Qualifications
• Previous experience in next generation sequencing data analysis highly desirable – particularly analysis of spatial transcriptomic, scRNAseq, and snRNAseq data sets
• Knowledge of multiple threading and multi-core processing
• Knowledge of statistical/mathematical packages such as R/Bioconductor
• Capable of self-directed research within broader goals set by group

Start date

To be determined

How to Apply

Please email your CV to in Research Talent Acquisition.