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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

Latest Articles

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  • 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...
    Yesterday, 07:11 AM
  • SEQadmin2
    From Collection to Sequencing: Why Sample Preparation and Preservation Define Sequencing Data
    by SEQadmin2


    Data variability is still an issue in sequencing technologies despite the advances in reproducibility and accuracy of these platforms. But the problem does not originate in the sequencing itself, but in the previous steps, before the sample reaches the sequencer.


    The first step is collection, followed by preservation and sample preparation for analysis. Most scientists overlook those steps, but not being careful might just be skewing the experiment’s results.
    ...
    06-02-2026, 10:05 AM
  • SEQadmin2
    Single-Cell Sequencing at an Inflection Point: Early Impacts of New Platforms and Emerging Trends
    by SEQadmin2


    With the launch of new single-cell sequencing platforms in 2026, the field stands at an exciting inflection point. This article surveys the most impactful advances in the field and discusses how they’re reshaping research in cancer, immunology, and beyond.


    Introduction

    Single-cell sequencing technologies have undergone remarkable advances over the past decade, transitioning from low-throughput experimental approaches to highly scalable platforms capable of...
    05-22-2026, 06:42 AM

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