Cincinnati Children's Hospital Medical Center - Research Careers

Research Jobs
at Cincinnati Children's Hospital Medical Center

Full Job Title: Bioinformatician

Job Number: 95236

Location: Cincinnati, OH

Date Posted: 2-7-2018

POSITION TITLE: Bioinformatician
DEPARTMENT: Biomedical Informatics and the Heart Institute

SUPERVISOR'S TITLE: Assistant Professor



PURPOSE OF POSITION: Lead, perform and guide innovative solutions for large-scale single-cell genomics analyses for the Cincinnati Children's Heart Institute in conjunction with the division of Biomedical Informatics. This scientist will work with a dynamic collaborative research team on integrative data analyses comparing data from distinct high throughput molecular measurement platforms and derive clinically relevant biological insights from model organisms and primary patient datasets with the goal of developing new therapies for fibrotic diseases. This researcher will further assist in the development of new single-cell analytical approaches in conjunction with established experts in this field (Salomonis lab). The ideal candidate will have a strong publication track record and demonstrated research independence.


Perform data analysis for research projects: Work collaboratively with research groups for the analysis of single-cell and bulk transcriptome datasets. Perform quality control, sequence alignment, gene and splicing statistical analyses and functional regulatory from next generation sequencing experiments. Integrate datasets across from different patients, disease states and across species. Evaluate the contribution of complex biological or technological covariates from large-scale genomic results (e.g., batch effects, sex). Evaluate results at the gene, pathway and systems-level, integrating detailed biological knowledge at different steps in the analysis. Apply statistical analysis or machine learning analysis methods. Customize data visualization results using existing software toolkits (e.g., R, python). Prepares manuscript materials for publications and reports about research projects for presentation at scientific meetings.

Informatics operation:Applies existing software to support sequence alignment, inter-sample comparison, algorithm evaluation, data management, data retrieval, and web access. Document standard operating procedures based on best practice. Experience working with complex metadata and data/results documentation (provenance). Assists in developing tools to support unsupervised sample and gene heterogeneity analyses. Incorporates institutional resources and 3rd party software into specialized analysis workflows for the team and clients. Helps to maintain computational infrastructure and control the flow of samples and information for studies. Works closely with Biomedical Informatics department to leverage system, software and knowledge efficiencies.

Teamwork: Guides and advises less-experienced staff. Trains and supports staff, residents, fellows, and technologists. Communicate results outside of CCHMC.

  • Knowledge of state-of-the-art bioinformatics analytical methods coupled with the creativity and intelligence to advance beyond them.
  • Leadership abilities necessary to lead projects.
  • Ability to independently manage and synthesize data from multiple projects (data tracking, data summarization, results integration).
  • Interpersonal Communication: Excellent verbal, written and interpersonal communication skills with ability to communicate with personnel at all levels of the organization.
  • Strong understanding of fundamental biological, disease and genomics concepts.
  • Prior experience with large-scale integrated genomics analyses (e.g. splicing, gene expression, single-cell, ChIP-Seq, regulatory sequence motif analysis).
  • Experience with RNA-Seq data analysis and downstream functional analysis toolkits
  • Technology: Familiar with relational database concepts, and client-server concepts. Capable of working on Linux, Unix and Windows environments.
  • Biostatistical analysis and novel algorithm/methods implementation.
  • Proficient use of command-line programs and/or scripting in Python, R and/or other object-oriented languages such as C and Java.
  • Strong understanding of existing genomic databases, tools and processes



  • PhD in bioinformatics, computation genomics, biostatistics or closely related field
  • Strong publication track-record
  • 3 years of directly related experience

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