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. Experience in the analysis of single cell RNA-sequencing and spatial transcriptomics data is advantageous, and proficiency in statistical analysis tools such as R or Python is desirable. Interested candidates
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seven computer scientists. Candidates must have a PhD in Biostatistics or Statistics and a record of peer-reviewed publications showing evidence of (for Instructor and Assistant Member, a potential of
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, databases, text). Conducts statistical analyses and visualize results. Extracts meaningful insights from complex data. Develops predictive models using supervised and unsupervised learning approaches
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. and globally. Qualifications: A doctoral degree (PhD and/or MD) completed or pending in quantitative discipline (Bioinformatics, Computer Science, Statistics, Applied Mathematics, etc.) is desired with
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to application of machine learning and data mining techniques to analyze multiple data modalities related to corneal disease, including imaging, genetic and clinical data. Qualifications PhD in Computer Science
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, or full Professor) with a Ph.D. and/or M.D. in Computational Biology, Bioinformatics, Genetics, Genomics, Statistics, or a related field for the following two positions: Molecular Epidemiologist: Candidates
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variety of cancer and bioinformatics research projects. Credentials and Qualifications: • PhD in Bioinformatics, Data Science, Computational Biology, Machine Learning, Statistics/Biostatistics
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hypotheses and rigorously quantify results, including model building and statistical analysis. Regularly present research plans and findings in a clear, concise manner to both general and specialized audiences
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2021), and biallelic mutations (Demeulemeester et al. , Nature Genetics 2022). Position qualifications The ideal candidate will have a PhD in computational biology (bioinformatics, genomics, …) and