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RESPONSIBILITIES
SRA seeks a mid-level or senior biostatistician. This individual will consult with research teams and will conduct statistical analyses in a variety of clinical and epidemiological studies and controlled experiments. Studies investigate research topics in environmental health, genomics, respiratory health, evaluation of public health programs, HIV-AIDS, toxicology, and other topics related to health. The biostatistician will work collaboratively with scientists on projects that lead to journal publications, presentations at professional meetings, and 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 (eg., 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 candidate 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:
- Ability to communicate statistical concepts and data analysis interpretations to non-statisticians
- Affinity for collaboration
- Solid understanding of analytical techniques associated with high throughput microarray data
- Curiosity about a broad range of public health and biological topics
- Peer-reviewed publication in public health, genomics/proteomics, epidemiology, toxicology, environmental health, or related disciplines
- Ability to communicate well orally and in writing
- 4 or more years experience providing data analysis support to research in public health, genomics, toxicology, environmental health, statistical genetics, survey sampling, or related disciplines
- Significant experience in analysis of datasets generated by microarray or massively parallel sequencing.
- Fluency with SAS, SUDAAN, R, S-Plus, general programming languages including popular scripting languages.
- Bachelors degree required; Masters preferred.
- Subjects: Statistics, Biostatistics, Epidemiology, Bioinformatics, or related subject preferred.
HOW TO APPLY
Please visit our website at: http://www.sra.com/careers/ to apply.
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