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their appointed term. Ideal candidates will have prior experience with clinical research methodology and study design, multivariate biostatistical analysis, manuscript preparation, and have strong clinical research
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. in epidemiology, biostatistics, bioinformatics, or a related quantitative field, with previous experience in analyzing large-scale omics data and strong programming skills in R / Bioconductor or Python
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and at least one additional scripting language (e.g., Python) and knowledge in biostatistics are required. Experience working with single-cell sequencing data and high-performance computing environment
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) in computational biology, bioinformatics, genomics, or other similar fields such as biostatistics. Applicants must have a proven publication record and a computational background is required. Postdocs
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development of scientific graph are highly preferred. 3. Skills in biostatistical analysis 4. Solid analytical skills and attention to detail; ability to read literature and understand its