Perform data analysis for research projects: Work collaboratively with research groups for the analysis of single-cell and bulk genomic datasets. Perform quality control, sequence alignment, statistical analyses, functional annotation and network. Integrate in house and public 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).
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. 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.
Project management: Analysts will be responsible for managing interactions with various research groups and coordinating effort on different projects. Establish and maintain transparent file management systems and SOPs for project tracking.
Publications & Reports: Prepares manuscript materials for publications and reports about research projects for presentation at scientific meetings. Strong writing skills and experience in diverse data visualization approaches helpful.
-Bachelor's degree in a related field -0 - 2 years of work experience in a related job discipline
Preferred: - Master's degree in bioinformatics, biostatistics, or computer science.
Sr. Analyst Requirements:
-Master's degree in a related field
-2+ years of work experience in a related job discipline OR equivalent combination of education and experience
- Ph.D. in bioinformatics, biostatistics, or computer science
Data analysis: Knowledge of state-of-the-art bioinformatics analytical methods coupled with the creativity and intelligence to advance beyond them. Prior experience with large scale bulk and single cell genomics is required (scRNA-Seq, ChIP-Seq, scATAC-Seq, WGS, etc.) Experience in biostatistics and proficiency in at least one scripting languages including R/Python/Perl are required.
Data management and data mining: Ability to independently manage and synthesize and integrate data from multiple projects (data tracking, data summarization, curation, results integration). Experience mining public genomic databases to identify, download, process, perform meta-analysis and integrate with inhouse data.
Communication and Collaboration: Excellent verbal and written communication skills are essential. Frequent communications between the analyst and collaborators are required for mutual understanding of the project goals, experimental design, analysis plan, implementation and problem solving.
Biological Principles: Strong understanding of fundamental biological, disease and genomics concepts, with an inquisitive nature and the ability to learn.
Documentation: A demonstrated ability for clear version control documentation (eg. GitHub).
Software and technology: Ability to evaluate and benchmark software. Opportunities for pipeline and software development based on experience. Senior and lead analysts are expected to be familiar with relational database and client-server concepts. Capable of working on Linux, Unix and Windows environments.
Project management: Excellent project and time management skills are required. Prioritization as well as managing deadlines and expectations for collaborators are important.
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About Cincinnati Children's Hospital Medical Center
At Cincinnati Children’s, we come to work with one goal: to make children’s health better. We believe in a team approach, both in caring for patients and their families, and in advancing science and discovery. We strive to do better, and find energy and inspiration in our shared purpose. If you want to be the best you can be, you can do it at Cincinnati Children’s.