The Ke Lab at The Jackson Laboratory, Two Post-doc Positions Available

1) RNA Biology Postdoc:

https://careers-jax.icims.com/jobs/25230/postdoctoral-associate—ke-lab/job

2) Computational Biology Postdoc:

https://careers-jax.icims.com/jobs/25557/postdoctoral-associate—ke-lab/job

The Laboratory of Dr. Shengdong Ke has two postdoctoral associate openings (one in RNA biology, and the other in computational biology) at The Jackson Laboratory in Bar Harbor, Maine. The Ke Lab focuses on RNA, a central node of genetic information flow from DNA to protein (https://www.jax.org/research-and-faculty/faculty/shengdong-ke). Malfunction of RNAs leads to many human diseases, including neurological diseases and cancer. To thoroughly address fundamental molecular mechanisms of RNA genomics, the Ke lab utilizes multidisciplinary approaches, including computational biology, biochemistry, innovative biotechnologies, genetics and molecular biology. We are especially interested in the fundamental mechanism of m6A RNA genomics; and regulation of m6A RNA genomics in neurological disease and cancer, using mouse and human iPS models. (References: 1] Ke, S. et al. m6A mRNA modifications are deposited in nascent pre-mRNA and are not required for splicing but do specify cytoplasmic turnover, Genes & Development 2017, 31: 990-1006; 2] Ke, S. et al. A majority of m6A residues are in the last exons, allowing the potential for 3′ UTR regulation, Genes & Development 2015, 29:2037-53.)

Requirements for RNA Biology Postdoc:

Qualified candidates will be self-motivated and career oriented individuals, have a genuine interest in addressing complex biological questions, and have a Ph.D. or MD. degree with background in one of the following areas, including biochemistry, molecular biology, biotechnology, neurosciences, immunology, stem cell, cancer biology or computational biology. Biochemistry and/or computational background and interest is a plus.

Requirements for Computational Biology Postdoc:

The successful candidate will develop and apply computational methods for genomic data analyses, have novel opportunities at the intersection of algorithms, data interpretation, and experimental design in close collaboration with the experimental team in the lab.  A good publication record and excellent communication skills are essential. A PhD. in a quantitative area is required: computational biology, computer science, statistics, physics and/or applied math.  Programming in Python, Perl, R or C++ is desired, as well as experience in genomic dataset analysis and integration.

The Jackson Laboratory (http://www.jax.org) in Bar Harbor, Maine, USA is a world leader in mammalian genetics.  JAX is passionate about its mission of discovering precise genomic solutions for disease and empowering the global biomedical community in the shared quest to improve human health. JAX is recognized internationally for its excellence in research, unparalleled mouse resources, outstanding training environment characterized by scientific collaboration and exceptional core services – all within a spectacular setting adjacent to Acadia National Park. In addition to lab-based training, JAX has developed a unique program for trainees to expand their professional skills in science communication, entrepreneurship, teaching, mentoring and laboratory management to best prepare postdocs for future career opportunities.

E-mail Shengdong.Ke@nulljax.org
URL https://www.jax.org/research-and-faculty/faculty/shengdong-ke