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. Familiarity with transcriptomic analysis packages (e.g., DESeq2, scanpy) and workflow managers (e.g., Nextflow, Snakemake). Prior use of bioinformatics tools, pipelines, and statistical methods for the analysis
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sequencing) Familiarity with statistical analysis or bioinformatic software (R, Python, QIIME2, BLAST-based workflows etc.). Scientific writing (i.e. thesis chapters, manuscripts.) Stipend $74,678.00 Yearly
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presentations, briefings, scientific manuscripts, and data analysis. Where will I be located? Natick, Massachusetts What is the anticipated start date? August 2026 Exact start dates will be determined at the time
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of enhanced plant materials encompasses field, greenhouse, and laboratory experiments. In addition to participating in the ongoing projects, you will participate in molecular genetics and genomic analysis
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., enhancers, promoters) in focal species. Customize bioinformatics pipelines for automated processing and analysis of short- and long-read sequencing data. Apply computational approaches to detect genetic and
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review, longitudinal study design, and analysis of large administrative health datasets. Appointment Activities: 1) Participate in mentor-guided training on epidemiologic research methods, study design
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analysis and visualization by exploring methods for transforming operational data into dashboards and metrics that communicate trends, process flow, and resource utilization to varied audiences
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and diabetes-related complications using large data sets from electronic medical records, health insurance claim or national surveys, and; Cost-effectiveness analysis of interventions for preventing and
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research literature summaries on special topics during emergency responses; participating alongside communication researchers to include input on instruments, processes, data collections, analysis and
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, PCR/qPCR, gene cloning and expression analysis, lab, greenhouse and field studies of microbes, plants and facilities. Project assignments meet USDA-ARS's mission to find solutions to agricultural