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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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on the design, conduct, and reporting of research. Ability to supervise a large research team. Monitors outcomes, develops and implements modifications, and analyzes reports. Designs, interprets, and
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://www.biorxiv.org/content/10.1101/2024.11.13.623458v1.abstract , https://www.nature.com/articles/s42256-024-00821-x , https://www.nature.com/articles/s42256-021-00368-1 ) or executing large-scale meta-analyses
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trials (e.g., diet, FMT), and ex vivo gut models enabling advanced multi-omics analyses of these samples. In addition the lab also maintains a large culture collection, partially linked to genomic data
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biology, human microbiota, microbiology or other relevant areas and/or comparable expertise (e.g from industry). Demonstrated expertise in omics data analysis, for example with (meta)genomics
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named Penn one of America’s Best Large Employers in 2023. Penn offers a unique working environment within the city of Philadelphia. The University is situated on a beautiful urban campus, with easy access
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(PCE and UIT) on Division IT support as needed Manage in-house specification and ordering for Division technology purchases, including annual large-scale (100+) PC ordering, scheduled hardware
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. The Research Assistant/Research Associate will play a key role in technical and scientific work of unifying large scale genomic (WGS, GWAS, long read) and non genomic (EHR, lifestyle, clinical) data from
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IT support teams (PCE and UIT) on Division IT support as needed Manage in-house specification and ordering for Division technology purchases, including annual large-scale (100+) PC ordering, scheduled
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of these data through both written and verbal communication including presentations, executive summaries/briefs, data visualizations, reports, etc. Manages large-scale, reoccurring projects, initiatives, and