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(or related viruses) and/or reverse genetics systems Performing and analysing nanopore-based sequencing Experience in both performing and the bioinformatic analyses of datasets from genetics/transcriptomics
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in bioinformatics analysis is highly desirable. Excellent problem-solving and critical thinking skills. Excellent communication skills and ability to collaborate effectively within interdisciplinary
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research on the topic outlined above is paramount Candidates are expected to be interested in working at the boundaries of several research domains PhD degree in computational biology, bioinformatics
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interpretation. A Ph.D. in biostatistics, statistics, bioinformatics, computational biology, or computer science is required. Strong computational background with programming and visualization skills in R and
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are readily available, including biorepository and clinical biomarkers labs, biostatistics, applied bioinformatics, proteomics and metabolomics and a variety of brain and body imaging resources (MRI, fMRI, DTI
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orientation, gender identity, national origin, and veteran or disability status. Minimum Qualifications PhD in Microbiology, Bioengineering, Biochemistry, Bioinformatics or a related field Preferred
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of Malignant Hematology/Medical Oncology) and UPMC Hillman Cancer Center. This position is supported by an NIH/NIGMS R35 grant and intramural funding. The successful candidate will engage in bioinformatics
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well as with experimental data. A suitable candidate may focus on a specific expertise, such as bioinformatics. The main work will concentrate around sarcomas, but our solutions are generic and may be applied
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in microbiology/molecular biology demonstrating these skills is highly preferred. Additional consideration will be given to applicants with a background in bioinformatics. Contact Information: Email
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biology, such as cell culture, gene editing, IP, WB, flow cytometry, in vivo models, etc. Epigenetics/Genomics approaches: ChIP, ChIP-seq, ATAC-seq, RNA-seq, CRISPR Screening, etc. Basic bioinformatic