Postdoctoral Bioinformatics Fellow: Genomics & Epigenomics

Cincinnati Children's Office of Academic Affairs and Career Development; Cincinnati (OH); On-site; USD 65,000 - 75,000; Full time

Job summary

The Computational Regulatory Genomics Laboratory at Cincinnati Children's Hospital Medical Center is seeking a highly motivated Postdoctoral Research Fellow. The role focuses on transcriptional regulation, enhancer architectures, and systems-level analyses across developmental, cancer, and metabolic contexts.

Laboratory work integrates ChIP-seq, GRO-seq, RNA-seq, ATAC-seq, Hi-C, and single-cell technologies to map regulatory landscapes, with collaborations across metabolism, cancer, and

Qualifications

• Ph.D. in related discipline, MD, or equivalent degree.
• Preferred: PhD in Computer Science, Physics, Biomedical Informatics, Bioinformatics, Epidemiology, Biostatistics or other similar quantitative disciplines.

Responsibilities

• Perform analysis and experiments - Design, execute, and record analysis and experiments; apply standard scientific protocols to research, and improve current methods and evaluate innovative techniques.
• Communicate results/findings - Draft, write, and edit scientific reports, papers, journal articles, and abstracts. Present information on research and department work to others at department meetings, journal clubs, and seminars.
• Innovate and advance departmental capabilities - Reproduce, evaluate, research, and improve techniques currently used. Develop new protocols; design formats. Maintain an integral role in the department's meetings, presentations, and publications.

Education

Ph.D. in related discipline, MD, or equivalent degree

PhD in Computer Science, Physics, Biomedical Informatics, Bioinformatics, Epidemiology, Biostatistics or other similar quantitative disciplines

Job description

The Computational Regulatory Genomics Laboratory at Cincinnati Children's Hospital Medical Center is seeking a highly motivated Postdoctoral Research Fellow. The role focuses on transcriptional regulation, enhancer architectures, and systems-level analyses across developmental, cancer, and metabolic contexts.

Laboratory work integrates ChIP-seq, GRO-seq, RNA-seq, ATAC-seq, Hi-C, and single-cell technologies to map regulatory landscapes, with collaborations across metabolism, cancer, and