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highly motivated Postdoctoral Scholar in computational biology, bioinformatics, and cancer genomics. The successful candidate will contribute to multidisciplinary research focused on cancer genomics
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an independent research program. Under the guidance of senior lab personnel, the successful candidate will master essential wet lab methodologies and utilize advanced bioinformatics pipelines to advance both
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on experimental design, molecular biology approaches, cancer genomics workflows, bioinformatics pipelines, and emerging technologies. The position will participate as a key member of multidisciplinary research
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multidisciplinary research team Desired Experience: Experience with antimicrobial susceptibility testing, molecular microbiology, qPCR, biofilm assays, or bacterial genomics, bioinformatics Familiarity with
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at The Ohio State University is seeking a highly motivated Postdoctoral Scholar in computational biology, bioinformatics, and cancer genomics. The successful candidate will contribute to multidisciplinary
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, and reporting; and provide scientific guidance on experimental design, molecular biology approaches, cancer genomics workflows, bioinformatics pipelines, and emerging technologies. The position will
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, or infectious diseases research. Familiarity with aseptic techniques and bacterial culture methods. Experience with qPCR, DNA/RNA extraction, and basic bioinformatics is desirable but not required
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bioinformatics analysis of single-cell and bulk RNA sequencing datasets is preferred. Minimum Education & Experience Required To be considered for this Postdoctoral Scholar position, candidates must possess a Ph.D
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to bioinformatics/omics analyses such as scRNA-seq, ATAC-seq, and AI-assisted data analysis. The candidate will also assist in mentoring trainees at various levels, including undergraduate and graduate students, as
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climate conditions. To facilitate this effort, the primary role of this position is to prepare genomic data for collaborative projects in the lab, execute bioinformatic pipelines, analyze genomic data and