Job Title
Organization's Summary Statement: Major Responsibilities (in order of importance) The work will primarily focus on data analyses and visualization. The position consists of a high degree of numerical analysis and computer programming. The applicant will be expected to:
- Build and maintain reproducible pipelines for processing metabolomics, bile acid profiles, and metagenomic sequencing data from dietary intervention studies.
- Implement multi-omic data processing approaches with emphasis on large-scale sequencing data handling and multi-omic integration used to study microbial systems.
- Apply multi-omics frameworks to integrate metabolomics, bile acids, and metagenomics for understanding microbial function.
- Develop predictive models in R and Python or related platforms to link dietary exposures to health outcomes.
- Use tools such as QIIME2, MetaPhlAn, HUMAnN, Kraken2, and R packages like phyloseq and vegan to perform taxonomic and functional profiling.
- Apply workflows for diversity analysis, functional gene profiling, and bioinformatic pipeline execution in developing and executing microbial community analysis pipelines.
- Conduct metabolite-microbe association analyses and pathway enrichment using tools such as MetaboAnalystR, mummichog, and KEGG/MetaCyc.
- Build predictive models to identify individual responses to dietary interventions.
- Create high-quality visualizations to communicate multi-omics findings.
- Prepare figures, reports, and manuscripts that clearly convey complex results to interdisciplinary teams.
- Present findings at meetings to nutrition scientists, clinicians, microbiologists, and collaborators.
Required Qualifications: Ph.D. in computational biology, bioinformatics or a related science field with a strong emphasis on genomic data analysis and data visualization.
Physical Demands of the Position: Most of the work will be working at a computer or attending meetings.