The Huang lab at NYU Biology (huanglab.rbind.io) is looking for a highly motivated and independent individual to work as a Postdoctoral Associate in plant regulatory genomics.

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 Huang lab use both experimental and computational genomics methods to study gene regulation at the systems level. This position is funded by the lab’s research grants from the NIH and NSF that aim to develop and apply the DAP-seq (DNA affinity purification-sequencing) method to characterize natural variation in transcription factor – DNA interactions and use computational modeling to understand the regulatory functions of genome and epigenome variation. We work with the reference plant Arabidopsis and collaborate with multiple groups on agriculturally and ecologically important plants.

We aim to build a highly interdisciplinary and collaborative lab, and we are committed to provide a supportive environment for lab members to achieve scientific excellence and gain expertise in both computational and experimental skills. The lab space is centrally located in the Washington Square campus of NYU at the Center for Genomics and Systems Biology.

In compliance with NYC’s Pay Transparency Act, the annual base salary range for this position is $62,500-$64,000. 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 in genetics/genomics, molecular biology, plant biology, ecology/evolution or computational biology, a track record or first- or co-first-author peer-reviewed publications, and prior research experience in any of these areas: molecular cloning, protein expression and purification, comparative genomics, analysis of high-throughput sequencing data, basic statistics, computer programming and/or machine learning. Experience in working with Arabidopsis is a strong plus. The position is expected to continue for multiple years contingent on satisfactory performance.

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; 3) a list of three references and their contact information.

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