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RESPONSIBILITIES
SRA seeks a Mid-level or Senior Bioinformatics analyst or Biostatistician. This individual will consult with research teams and will conduct bioinformatics/statistical analyses in a variety of genomics, clinical and/or epidemiological studies. These genomics studies revolve around environmental health, toxicology and other related topics of public health concern. The candidate 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 will have interest in and aptitude for consulting with clients ranging from biological and environmental scientists, physicians, statisticians and computer science professionals. The successful candidate will also have training and experience in the application of a broad range of statistical data analysis methods which may include generalized linear and additive models, mixed effects models and other multivariate methods, Bayesian methods, power and sample size calculation, machine learning methods for genomics as well as computational biology methodologies for microarray, SNP, and sequence data analysis. Strong communication and writing skills are essential, as are willingness and ability to learn new data analysis methods and to apply them to new domains.
Required Skills:
- Requires Masters degree and 3 - 5 years work experience.
- Ability to communicate statistical concepts and data analysis interpretations to non-statisticians.
- Affinity for collaboration.
- Attention to detail, willingness to take on responsibility for satisfying clients’ needs.
- Curiosity about a broad range of public health and biological topics.
- Peer-reviewed publications in bioinformatics, computational biology, genomics or other ‘omics’, toxicology, environmental health, public health, or related disciplines.
- Ability to communicate well orally and in writing.
- 2 to 10 years experience providing data analysis support to researchers in genomics, toxicology, environmental health, statistical genetics, public health, or related disciplines.
- Significant experience with statistical aspects of study design, including power calculations.
- Fluency with SAS, SUDAAN, R, S-Plus, general programming languages.
HOW TO APPLY
Please visit our website at: http://www.sra.com/careers/ to apply.
Discussion forums: Opportunity: BIOINFORMATICS Analyst / Research Statistician (#21416BR) @ SRA International--Durham, NC (US)
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