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  • Data Analyst, System Development – Chesterford, UK #2159

    Why is one person more likely to develop a disease—like cancer, diabetes or Parkinson’s—than someone else? Why would one person respond differently to treatment than another? Illumina’s technologies are helping researchers around the world to answer these questions and others, on a scale not even possible a few years ago.

    Illumina is the only life sciences company developing genome-wide technologies for genotyping, gene expression and sequencing—the three cornerstones of modern genetic analysis. By enabling studies of thousands of patient samples at once, our products set genetic discovery on fast forward. And we’re just getting started.

    Data Analyst, System Development – Chesterford, UK #2159

    As a Data Analyst, you will be a member of the Computational Biology Department, focused on developing and improving high performance genomic analysis systems. You will be involved in the development, implementation and testing of new analysis methods and algorithms, for example in the area of image analysis. Together with scientists from other disciplines, you will also participate in the analysis of data for performance improvements or development of new applications for these genomic analysis systems.

    Job responsibilities include but are not limited to:
    • Investigate and model overall system performance of genomic analysis instruments systems
    • Analyse image data and processed data from instruments and identify avenues for future performance improvements
    • Identify potential system improvements in all aspects of technology, for example data analysis, sample preparation, chemistry, fluidics, optics and mechanics
    • Provide data analysis support for other R&D groups and interface with scientists from different disciplines across multiple sites
    • Develop improved analysis methods and algorithms for high-throughput genomic sequencing
    • Implement new analysis methods in C/C++

    Education and Experience:
    • MSc in Computer Science, Math, Engineering or Natural Sciences; advanced degree is a plus
    • Research experience in data analysis and statistical inference
    • Scientific software development experience using scripting languages or C/C++
    • Familiarity with image analysis techniques or with machine learning approaches is a plus
    • Bioinformatics and/or optics experience is a plus
    • Familiarity with HPC environments is a plus
    • Good communication skills and ability to interact with scientists from a variety of backgrounds

    When you join the high-performing team at Illumina, your work takes on new meaning—to an exponential degree. Our growth, our positive culture, and the impact our products are having in the world ignite a passion that drives our people forward. And together, we accomplish beyond expectations.

    experience the power of i
    www.illumina.com/careers

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  • seqadmin
    Current Approaches to Protein Sequencing
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    Proteins are often described as the workhorses of the cell, and identifying their sequences is key to understanding their role in biological processes and disease. Currently, the most common technique used to determine protein sequences is mass spectrometry. While still a valuable tool, mass spectrometry faces several limitations and requires a highly experienced scientist familiar with the equipment to operate it. Additionally, other proteomic methods, like affinity assays, are constrained...
    04-04-2024, 04:25 PM
  • seqadmin
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    Despite advancements in sequencing platforms and related sample preparation technologies, certain sample types continue to present significant challenges that can compromise sequencing results. Pedro Echave, Senior Manager of the Global Business Segment at Revvity, explained that the success of a sequencing experiment ultimately depends on the amount and integrity of the nucleic acid template (RNA or DNA) obtained from a sample. “The better the quality of the nucleic acid isolated...
    03-22-2024, 06:39 AM

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