Two Post Doctoral Position -Environmental Epigenomics And Bioinformatics-Johns Hopkins University, USA (Baltimore)


Location: Baltimore, MD, United States

Deadline: April 29, 2016

Description: Supported by a 5-year NIH R01 (2 percentile) and 4-year U01, highly motivated candidates are invited to apply in Wang Laboratory of Human Environmental Epigenomes to determine:

(i) What kind of epigenetic codes (histone codes, nucleosome positioning, and DNA methylation patterns) exists in the human/mouse genome (Cell, 2007; Nature Genet, 2008; Cell, 2008; Immunity, 2009; Curr Opin Genet Dev, 2009; Nature, 2011; G&D, 2011; Genome Biol, 2015);
(ii) How these epigenetic codes are established by corresponding enzymes in normal cells for gene regulation (Cell, 2009; Science, 2010; Nature, 2010; Sci Rept, 2015; NAR, 2016); and
(iii) How this establishment goes awry upon environmental exposure, thereby contributing to the pathogenesis of environmental diseases (Curr Environ Health Rep, 2014; Prog Biophys Mol Biol, 2015).

Our lab is currently focused on (ii) and (iii) to understand the pathogenesis of several diseases (Parkinson’s disease, autism, asthma, type 2 diabetes, and cancer) from the perspective of exposure-altered epigenomes. To our goals, we have been striving to develop cutting-edge techniques (ChIP-seq, Cell 2007; MNase-seq, Cell 2008; ACE-mapping, Genome Biol 2015). In the NIH R01 project, we have used our developed so-called NORED and Tag-mosaicity approaches to identify novel imprinted loci that have genes with potential in many human diseases. After exposure to endocrine disruptor chemicals during early embryo development, we aim to determine these imprinted loci for “fetal origin of adult disease.”

Requirements (mandatory + desirable): The ideal bioinformatics applicant should have a PhD degree in computer science, biostatistics, bioinformatics, or other related fields with strong quantitative training. Strong programming skills and knowledge on high performance computing and database would be a plus. The bioinformatist has tons of deep sequencing data to be analyzed, and will be jointly supervised by Dr. Ji in the Biostatistics Dept. A biologist with extensive training in molecular biology, neurobiology, and epigenetics is expected. Both candidates should also demonstrate excellent communication skills and have a strong passion and commitment to science. Candidates should have a good publication record.

To apply for this position and further information, please click the Medgenera logo (below).

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