Postdoctoral fellow position in bioinformatics is available for multiomic analysis of transcriptome and epigenomic data

Background:

We are an interdisciplinary team with expertise in pharmacy, genomics, epigenetics, metabolomics, and inflammatory response and are seeking a postdoctoral fellow who will be open to direct the bioinformatics analysis and integration of multi-omics data. The selected postdoctoral candidate will join a dynamic, interdisciplinary team to investigate how natural chemical products regulate aberrant inflammatory processes and related signaling pathways via epigenetic modification during the suppression of inflammation and related diseases, including cancers.

Responsibilities:

The candidate will integrate genome-wide data for epigenetic patterns and changes in gene expression. Next generation sequencing approaches will include but not limited to RNA-seq, ChIP-seq, and Methyl-Seq. The applicant will have the opportunity to work closely with members of each research group and draw upon the strengths of diverse experimental platforms, areas of expertise, and styles of mentorship.

The area of focus for this position will be the identification and characterization of novel inflammatory epigenetic and gene expression pathways linked to cell metabolism.

Candidates will be performing bioinformatics and statistical analysis, visualization and data interpretation of data generated by the project. Candidates will use a variety of methods to identify genomic and metabolomic related signatures associated with metabolic activity from high dimensional biological data. Candidates will integrate data from external (e.g. NCBI GEO, UCSC Genome Browser, Ingenuity) and internal sources in analyses. Candidates will work independently with oversight from research faculty. Candidates will communicate Bioinformatics results to principal investigators and bench scientists.Candidates must have an excellent publication record and strong written and verbal communication skills.

Requirements:

Candidates must have a PhD in Computational Biology, Bioinformatics, or Molecular Biology if it includes a strong bioinformatics background. R/BioConductor programming skills and working experience in a Unix/Linux environment are preferred. Experience in inflammatory response and epigenetics is desired. Candidates with experience in high dimensional data integration, gene expression analysis, next generation sequencing analysis, metabolomic or metagenomic analysis, and biological network inference is preferred. Candidates with statistical analysis experience and a working knowledge of regression analysis, multivariate data analysis and linear/nonlinear mixed effects modeling is required. Scripting language experience (e.g. Perl or Python) is preferred.

Environment:

Our team is located in adjacent buildings on the Busch Campus, the heart of the Rutgers science, engineering, and medicine centers. Rutgers presents a vibrant research community, with $630M in total research expenditures (FY2017) which is in the top 40 universities nationally. Rutgers sits 43 miles from New York City and 66 miles from Philadelphia and enjoys an exciting and diverse academic community in central New Jersey.

How to apply:

Candidates are welcome to apply! Please send your CV to Ah-Ng Kong if interested.