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The Rocha lab at NYU Biology is looking for a highly motivated and independent individual to work as a Postdoctoral Associate.

This position is for a post-PhD trainee preparing for a research scientist career path. The planned position will provide a transition to career independence through the development of professional skills; supervision by senior scientist incorporating individual development plan in support of training goals and those of faculty mentor; and publication of research findings/scholarship during postdoc appointment period.

Projects in the Rocha lab address the evolutionary history of populations and species of mammals inhabiting extreme terrestrial biomes. Planned projects combine state-of-the art sequencing methods to generate chromosome-level haplotype-resolved genomes and re-sequencing methods to address the role of full spectrum genetic variation in speciation and adaptation in naural populations.

In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $62,500-$65,664. New York University considers factors such as (but not limited to) the specific grant funding and the terms of the research grant when extending an offer.

The ideal candidate will hold a PhD (or equivalent international degree) or enrolled on a PhD program and about to obtain the degree by start-date and a track record of peer-reviewed publications.

Required qualifications:

+ PhD in the fields in the fields of Biology, Evolutionary Genetics, Evolutionary Ecology, Computational Biology, Veterinary Sciences or related field(s), and no more than two years of postgraduate experience.

+ Experience in bioinformatics, molecular ecology, computational approaches to study genetic diversity and evolution, or related topics that the employer considers relevant to the service.

+ Willingness to train and mentor students in the lab, develop and share pipelines and work flows for reproduceable data analysis, and applying for external research funding.

Candidates with experience in any of these are strongly encouraged to apply:

+ Experience analyzing complex structural variation from long-read and short-read sequencing. Experience analyzing and integrating large-scale genomic with environmental, ecological and historical datasets.

+ Experience in workflow development and working with high-performance computing systems and code sharing

Candidates with experience in any of these are also encouraged to apply:

+ Wet-lab skills for evolutionary research (DNA/RNA extraction, Library Preparation, Mammalian cell culture).

+ Field-work skills (monitoring, capture-release, collar tracking, camera trapping).

Please upload your application materials via Interfolio. Include the following items: 1) CV including a list of publications; 2) a short summary of your present and future research interests (this can be in the form of a cover letter); 3) a list of three references and their contact information.

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