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  • PrognosysBio
    Registered Vendor
    • Jul 2009
    • 2

    Bioinformatics Scientist 2012-03-IN

    About Prognosys
    Our focus is on the promising and rapidly developing field of personalized medicine. We invent novel assay technology, develop applications, and carry out R&D in the area of biomarker discovery.

    About This Position:
    As part of a cross-functional team, you will play a key role in developing and utilizing novel assay technologies for biomarker discovery and validation.

    Responsibilities:
    Define statistically sound study designs for next generation sequencing and other genome-wide assays.
    Perform biomarker discovery and support assay development and validation.

    Qualifications:
    PhD degree in Applied Mathematics, Statistics, Computer Science, or a related field.
    Experience with statistical aspects of biomarker discovery study design and analysis is highly desirable.
    Solid knowledge of statistical programming packages such as R.
    Programming skills (preferably python), ability to work in a Linux environment.
    Familiarity with AWS and next generation sequencing bioinformatics tools is a strong plus.
    Ability to work in a cross-functional team and good communication skills.

    Please apply at www.prognosysbio.com/careers

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  • GATTACAT
    Reply to Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by GATTACAT
    Love this - good data definitely starts from good input, and poor input can only give relatively poor data. I particularly like the mention of Nanodrop/absorbance based methods for quantification. It's such a toss up if you'll get an accurate reading or what amounts to a randomly generated number, and a lot of library/sequencing related issues can be traced back to poor quant.
    07-01-2026, 11:43 AM
  • SEQadmin2
    Nine Things a Sample Prep Scientist Thinks About Before Sequencing
    by SEQadmin2


    I’m not a sequencing expert. I’m a purification scientist who uses NGS to evaluate workflows my group develops. With this perspective, we think about the sample first and the NGS workflow second. The sequencer is an exceptionally honest reporter, but it can only report on what you give it, so whether you get clean, interpretable data from an NGS workflow is largely determined before you begin.

    Here are nine questions we think about, in roughly the order they matter, before...
    06-18-2026, 07:11 AM

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