Job:Bioinformatician position: RNA regulatory networks, NYC
0
1
Entering edit mode
5.3 years ago
laie ▴ 10

Lai lab Sloan-Kettering Institute, New York City

We seek a motivated bioinformatician to be involved in our studies of post-transcriptional regulatory networks. Our laboratory at Memorial Sloan-Kettering Cancer Center combines computational and experimental approaches to discover, annotate and functionally elucidate diverse post-transcriptional regulatory pathways and their biological impacts. Currently, we are particularly interested in non-canonical small RNA pathways, alternative mRNA processing strategies, and RNA methylation. Towards these ends, we produce RNA-seq, 3'-seq, CLIP-seq, small RNA, RNA modification and ChIP-seq data, and analyze these with respect to the rich comparative genomic data available for Drosophila and mammals.

The candidate will integrate into projects that seek the mechanistic bases and impact of (1) tissue-specific alternative polyadenylation, and (2) regulation and dysregulation of miRNA biogenesis. There is a close exchange of ideas between dry and wet lab members to generate and test biologically-based hypotheses. Postdoctoral fellows are offered a generous salary and comprehensive benefits package including full medical for themselves and all dependents and subsidized housing nearby.

Qualifications: Relevant candidates will have strong computational skills and have demonstrated extensive experienced with analyzing deep-sequencing data, comparative genomics and statistics. Fluency with at least one general purpose programming languate (e.g. Perl or Python), a language for statistical computing (e.g. R), proficiency with bash/shell scripting in LINUX/UNIX systems, and knowledge of HTML/JavaScript for building web-based data interfaces.

Excellent problem solving, independent thinking, communication skills and scientific curiosity are critical. Working knowledge (and desire to learn) how experimental datasets are generated, appreciation for biological variability, technical artifacts, and, experimental validation of computational conclusions, and teamwork between dry/wet lab are fundamental to the projects.

Recent relevant publications

Joseph, B., S. Kondo and E. C. Lai (2018). Short cryptic exons mediate recursive splicing in Drosophila. Nature Structural and Molecular Biology, 25: 365-371.

Jee, D., J.-S. Yang, S. M. Park, D.'J. Farmer, J. Wen, T. Chou, A. Chow, M. T. McManus, M. G. Kharas and E. C. Lai (2018). Dual strategies for Argonaute2-mediated biogenesis of erythroid miRNAs underlie conserved requirements for Slicing in mammals. Molecular Cell 69: 265-278.

Lin C.-J., F. Hu, R. Dubruille, J. Vedanayagam, J. Wen, P. Smibert, B. Loppin and E. C. Lai (2018). The hpRNA/RNAi pathway is essential to resolve intragenomic conflict to permit transmission of sons. Developmental Cell 46: 316-326. (Featured in Developmental Cell 46: 251-253).

Mohammed, J., A. S. Flynt, A. M. Panzarino, M. Mondal, M. DeCruz, A. Siepel and E. C. Lai (2018). Deep experimental profiling of microRNA diversity, deployment, and evolution across the Drosophila genus. Genome Research 28: 52-65.

Sanfilippo P., J. Wen and E. C. Lai (2017). Landscape and evolution of tissue-specific alternative polyadenylation across Drosophila species. Genome Biology 18: 229. doi: 10.1186/s13059-017-1358-0.

Kan, L., A. V. Grozhik, J. Vedanayagam, D. P. Patil, N. Pang, K.-S. Lim, Y.-C. Huang, B. Joseph, C.-J. Lin, V. Despic, J. Guo, D. Yan, S. Kondo, W.-M. Deng, P. C. Dedon, S. R. Jaffrey and E. C. Lai (2017). The m6A pathway facilitates sex determination in Drosophila. Nature Communications 8:15737, 1-16.

APA CLIP-seq miRNA 3-prime-seq RNA-Seq • 1.1k views
ADD COMMENT
0
Entering edit mode

Please send motivation letter including details of prior research experience, CV, and contact information of three references to laie@mskcc.org.

ADD REPLY

Login before adding your answer.

Traffic: 2596 users visited in the last hour
Help About
FAQ
Access RSS
API
Stats

Use of this site constitutes acceptance of our User Agreement and Privacy Policy.

Powered by the version 2.3.6