[I, Librarian]
  • [Photo] Jesus Zurdo • March 9, 2010

    BACKGROUND

    Lonza is an international, dynamic service provider in the biotherapeutics development and manufacturing field. Its newly created Protein Design Services business focuses on therapeutic protein design and optimization, with two centres of scientific excellence in Ghent (Belgium) and Cambridge (UK), dedicated to bring innovative solutions to drug discovery and biopharmaceutical development. The business unit brings together Lonza’s AggreSolve™ platform for protein stability and aggregation assessment with the recently acquired Algonomics business, focusing on immunogenicity screening of protein therapeutics.

    We are currently hiring scientists to join our Advanced Protein Technologies (APT) department in Cambridge (UK) to expand our capacity and service offering portfolio. We are looking for candidates with industrial expertise in fields such as structural bioinformatics, data-mining, immunology and immunomonitoring, preferably with a combination of these skills.

    Scientists will be part of a multidisciplinary research and expertise team focusing on therapeutic antibodies, protein and peptide discovery and in the immunoprofiling and developability assessment of therapeutic proteins and vaccines. APT is a first class research centre with innovative computational and experimental technologies applied to unravel protein immunogenicity, stability and aggregation problems, characterise protein-peptide interactions and engineer safer and better biotherapeutics.

    RESPONSIBILITIES

    To expand our in silico tools, we seek a scientist with a very strong background in statistical / mathematical analysis applied to data mining in the context of biological properties of biopharmaceuticals.

    REQUIREMENTS

    • The candidates will have several years Post-doc and industrial experience in the application of different logical, probabilistic and mixed tools to data mining and machine learning.
    • Candidates will have practical knowledge on logic programmes, decision trees, SVMs, SOMs, NN, Bayesian networks, BLPs, etc.
    • They will also be fluent in data analysis tools, such as principal component analysis (PCA), partial least squares (PLS), etc. and in non-linear regression analysis.
    • Particularly encouraged are applications from scientists with a good biological/biocomputational background, especially applied to proteins and protein structure.
    • The candidates shall have excellent communication and project management skills, and drive projects forward by employing solid scientific insights and result-driven approaches.
    • They will have experience in working in multidisciplinary teams, and deliver results in a timely way.
    • The candidates will show a proactive attitude to problem solving and communicate effectively with scientists of different backgrounds to develop innovative algorithms and computational methodologies for the assessment of biopharmaceuticals.
    TERMS: Permanent position

    SALARY & COMPENSATION

    Lonza offers a pleasant, dynamic, hands-on and informal working atmosphere, combined with a competitive remuneration package.

    HOW TO APPLY

    If you are interested in this opportunity please visit our website http://www.lonza.com and apply online via our E-recruiment portal.

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