Applicants must have an MD, PhD, or equivalent degree in Computer Science, Computational Biology, Bioinformatics, Biostatistics, or Biology with strong quantitative training, or other closely related field. Candidate will have 7 or more years of experience in a research environment, with background and work knowledge in algorithms, scientific computing, machine learning or statistics. Familiar with R, C/C++, Java, Perl, python, PLINK and the Unix (Linux) environment. Experience in analyzing, and annotating very large genomic (e.g. NGS) data sets both in exploratory and pipelines scenarios is required. This position will be expected to work closely with clinicians, basic scientists, and members of the Drug Discovery Unit as well as with the existing bioinformatics team. In addition the post-holder will have the opportunity to work within partner consortia including the Very Early Onset IBD Consortium, the NIDDK IBD and International IBD Genetics consortia, the Human Microbiome 2 consortium, and the CCFA Microbiome Initiative. The successful candidate will need a track record of scientific leadership and collaboration, peer-reviewed research and grant funding commensurate with rank, a strong publication history, excellent interpersonal skills, and the ability to thrive in a multi-disciplinary environment. Attractive compensation and benefit package, with great career development opportunities will be offered to the successful candidate.