RESPONSIBILITIES:
We are currently seeking a mid-level or senior Bioinformatician / Bioinformatics Scientist who will consult with research teams and will conduct statistical analyses in a variety of genome scale experiments. Research topics include environmental health, genomics, toxicology, and other topics related to health. This Bioinformatician / Bioinformatics Scientist will work collaboratively with scientists on projects that lead to journal publications, presentations at professional meetings, and possibly reports that influence public policy.

REQUIREMENTS:
The successful candidate should have experience analyzing high-throughput genomic datasets derived from ChIP-Seq and ChIP-chip technologies as well as familiarity with available third party software packages useful to analyzing these data. In addition to performing basic quality control and analysis (e.g., intra/inter array normalization, significance testing, discrimination and classification, clustering, identification of gene regulatory themes, mapping of binding events, error modeling, and sequence mapping to relevant genomes), the ideal Bioinformatician will feel comfortable working closely with individual research teams to design custom software that facilitates visualization and meaningful quantification and interpretation of data obtained. Intimate knowledge of the statistical tools appropriate to task is essential.
Required Skills:

• Requires a Bachelors degree (or higher) and 2 or more years experience providing data analysis support to research in public health, genomics, toxicology, environmental health, statistical genetics, or related disciplines.
• Ability to communicate statistical concepts and data analysis interpretations to non-statisticians.
• Affinity for collaboration.
• Solid understanding of analytical techniques associated with high throughput ChIP-Seq, ChIP-Chip, microarray and/or Next generation sequencing data.
• Fluency with Perl, R or S-Plus, general programming languages including popular scripting languages is desired.

• Peer-reviewed publication in genomics or other -omics, toxicology, environmental health, or related disciplines.
• Ability to communicate well orally and in writing.
• Two or more years experience providing data analysis support to research in genomics or other related disciplines.
• Significant experience in analysis of datasets generated by microarray or massively parallel sequencing.
• Fluency with Perl, R or S-Plus, general programming languages including popular scripting languages.