Position ID: | Cornell-CALS - Division of Nutritional Sciences-PDRABIO [#24926, WDR-000] |
Position Title: | Postdoctoral Research Associate, Bioinformatics |
Position Type: | Postdoctoral |
Position Location: | Ithaca, New York 14853, United States [map] ![]() |
Subject Areas: | Biological Sciences Molecular Biology / Molecular Biology Microbiology Bioinformatics Data Science / data analytics |
Appl Deadline: | (posted 2023/05/30, listed until 2023/11/08) |
Position Description: |
Postdoctoral Research Associate Nutritional Sciences The Johnson lab is seeking to welcome a postdoctoral research associate to the group who specializes in bioinformatics and computational biology with experience analyzing microbiome sequencing datasets. This researcher would work across multiple projects that aim to understand the precise mechanisms that define how infant nutrition shapes the development of the gut microbiome. Main responsibilities would include processing, analyzing, and interpreting sequencing data from infant gut microbiome samples, data organization, manuscript preparation and the potential to follow up on observations in research models depending on the interest of the individual. As an individual contributor you will model and support a culture of diversity, equity, inclusion, and wellbeing and continually seek to understand how your role, behaviors, and actions impact the success of this culture. Required Qualifications: • A PhD in a biologically relevant field with a dissertation that included a focus on analyzing high-throughput sequencing datasets. • Strong computational and statistical training. • Experience with microbiome data analysis including shotgun metagenomic and 16S rRNA gene sequencing datasets. • Ability to cultivate and develop inclusive and equitable working relationships with students, faculty, staff, and community members. • Experience in and/or demonstrated commitment to supporting diversity, equity, access, inclusion, and wellbeing. Preferred Qualifications: • Proficiency in one or more additional programming languages (e.g., Python). • Experience with techniques in molecular biology connected with high-throughput sequencing library preparation.
Applications must be submitted through Academic Jobs Online: https://academicjobsonline.org/ajo/jobs/24926 .
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