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To apply to this position, please click on this link. https://www.research.ge.com/eHire
Please enter GECRD/319910/WB2273 in the job reference code field.
Responsibilities: Join GE's research in molecular imaging as a Bioinformatics Scientist, working with world-class experts in imaging physics, molecular biology, and medicinal chemistry, developing the next generation of molecular diagnostics. We need experts in bioinformatics analysis of protein pathways and gene expression to develop tools and techniques for discovering molecular imaging targets and apply these techniques to the study of specific diseases. Projects will involve developing platform technologies for integrating many disparate types of public and proprietary genomic and proteomic data along with analysis methods to elucidate pathways and identify molecular imaging targets. Collaborate with GE?s luminary academic and commercial scientific partners both to develop next generation diagnostic products and to publish research results.
Requirements: Candidates need to have either a PhD in bioinformatics or computational biology, or degrees in both biological and computational sciences, with one being at the PhD level.
·Knowledge of molecular disease mechanisms and pathways.
·Knowledge of genomics and analysis of DNA microarray data.
·Mathematical and computer science background.
·Published work in the bioinformatics field.
·Excellent communication skills (verbal, written, presentation).
·Ability to work effectively in teams.
Demonstrated experience in one or more of the following areas would also be highly desirable:
·Experience in building computational models of biological phenomena.
·Experience in statistical analysis of biological data.
·Experience with microarray tools and algorithms, knowledgeable about their limitations and research areas.
·Experience building bioinformatics databases and software tools.
Desired:
·Experience in pharmaceutical or biotech industry.
·Experience as Principal Investigator on funded research grants.
·Leadership / coordination ability.
To apply to this position, please click on this link. https://www.research.ge.com/eHire
Please enter GECRD/319910/WB2273 in the job reference code field.
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