Do you think that new biological discoveries can be made from the novel analysis of existing data though developing innovative bioinformatics tools? Do you believe omics data especially the single-cell data is revolutionizing biomedical research? Do you think computational approaches are critical in immunology and precision medicine? If your answer is yes, we might have a great position for you!
We develop bioinformatics tools for next-generation sequencing data analysis and Machine Learning algorithms for large-scale biomedical data interpretation. Current research interests are single-cell sequencing data analysis, machine learning for big data analysis and Omics data mining in cancer immunotherapy. Previous trainees in our lab have obtained bioinformatics jobs at top biopharmaceutical companies like Bristol-Myers Squibb and Genentech.
We are looking for postdoctoral scholars who are passionate about data-driven novel biological discoveries from integrative data analysis. Our goal is to design and apply novel analysis tools and pipelines to cancer omics data to understand and cure cancer. Previous experience in cancer and immunology research, omic data analysis and machine learning will be evaluated positively. Previous experience in data analysis using R packages is also a major plus.
Working Conditions: Work is generally 40 hours/week or more as needed. Travel may be necessary on occasion. Work includes group and team meetings where staff must effectively communicate progress on assigned projects.
Physical Demands & Equipment Usage: Personnel will need to sit in a shared office environment daily while utilizing computer equipment.
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