NOTE: This is a two-year term appointment with the possibility of extension to a maximum of three years.
We have an opening for a Bioinformatics/Microbiome Postdoctoral Researcher to conduct research in the area of microbiome science and quantitative computational biology. You will explore opportunities to further scientific understanding of the underlying microbiome constituent features that impact human health and resilience. This includes developing new methods, tools, and workflows for metagenomic sequence and multi-omic data generation, pre-processing, and analysis in the context of health and disease phenotypes. This position is in the Microbiology/Immunology group in the Biosciences and Biotechnology Division.
In this role you will:
- Contribute to generation of novel metagenomic datasets from microbiome samples.
- Develop and apply pipelines for metagenomic data intake and processing.
- Apply statistical techniques to understand a range of microbiome-relevant health outcomes and disease states.
- Perform analyses of diverse phenotypic, metagenomic, and metabolic datasets.
- Research, design, and implement models that integrate pre-existing data with novel generated data to identify significant trends and predict outcomes.
- Pursue independent (but complementary) research interests and interact with a broad spectrum of scientists internally and externally to the Laboratory.
- Publish research results in peer-reviewed scientific or technical journals
- Organize, analyze, and present data from research at seminars, technical meetings, and conferences.
- Ph.D. in Microbiology, Bioinformatics, Biostatistics, or a related field.
- Familiarity with bioinformatics tools for bulk or single cell sequence pre-processing, alignment, and assessment of genomic features.
- Experience in quantitative biology, statistical analysis, and data visualization
- Ability to develop and apply novel analytical techniques for metagenomic and multi-omic analyses of microbiome data from living systems.
- Desire to learn and apply novel techniques, adapting to complex project needs.
- Ability to complete independent research projects, as demonstrated through publication of peer-reviewed literature.
- Proficient verbal and written communication skills, as well as a demonstrated ability to present technical information and effectively collaborate in a highly multidisciplinary team environment.
Qualifications we desire:
- Experience with sequence library preparation and bulk/single-cell next-gen sequencing.
- Experience in metagenomic data analysis and microbiome analytical tools, including analysis of 16S rDNA and shotgun metagenomic data and experience with systems biology and multi-omics analysis of health-related datasets.
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