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    Opportunity: Technical Leader -- Data and Knowledge Engineering @ DTU Biosustain -- Lyngby, Greater Copenhagen, Denmark
    Submitted by Signatur AS; posted on Tuesday, January 12, 2021


    Do you want to develop cutting edge technology to support cutting edge science?

    Do you have experience working with large research data sets of different omics types with an engineering, architecture and design approach? Are you at the same time looking for an opportunity to break new ground at the forefront of what is possible? If so, this is the job you have been waiting for. At DTU Biosustain in Lyngby, Greater Copenhagen you will unfold your skills as enabler for approx. 300 world-class scientists in Copenhagen and San Diego. Your personal efforts will enable and accelerate our work towards development of new environment friendly products, better and less energy consuming manufacturing processes, new medical treatments, climate friendly farming, etc.


    Expand and operate infrastructure to support high-throughput and complex data:
    As Technical Leader for data and knowledge engineering your focus is to expand and operate a next generation informatics infrastructure that enables efficient management of big data sets, big data analytics, computational modeling and knowledge management. More specifically, you will expand and manage a cutting-edge data infrastructure consisting of data lake, data warehouse and institutional knowledge graph linking internal data with universal knowledge. A lot of your work will be related to our cutting edge, integrated informatics platform Lifelike.

    We have already come a long way but we need you to drive our next leap forward by applying your engineering perspective while working hands-on with architecture, design and implementation. Your primary tasks will be to:
    • Expand the Center's data management capabilities to support high-throughput data generation, enabling efficient big data collection, processing and analysis, as well as exchange of data between institutes.
    • Coordinate technical work activities between a small team involved in data architecture, data engineering, and computational method development.
    • Ensure adequate data capacity planning and monitoring, database administration and backup.
    • Manage a hybrid infrastructure consisting of multi-cloud and on-premise.
    • Manage a database environment consisting of multiple database types.
    • Implement data processing and analysis pipelines integrating multiple databases.
    • Deploy and optimize big data analytics methods that are being developed by data scientists.
    • Participate in the research and implementation of knowledge engineering approaches utilizing knowledge graphs, enabling the combination of graph analysis with AI to support explanatory AI systems.


    To succeed, you must collaborate and communicate effectively with PhD level scientists. This calls for your ability to and motivation for understanding the highly complex and scientific data sets that your infrastructure shall handle. As you will be working with colleagues and partners in different locations, you must be able to handle some calls and remote meetings outside normal office hours.

    Solid experience working with large scale data platform components:
    As you will be part of a support unit that works as enabler for numerous scientists across DTU's many teams and locations, you must like to create results via knowledge sharing and constructive collaboration – with due respect to professional and cultural differences. This calls for an open-minded approach as well as your ability to tailor your communication to your audience. You are known for your analytical way of working and your positive belief in that there always is solution to a problem at hand. Related to this, you can establish KPIs, project plans and deliver as promised within agreed deadlines.

    Additionally, your CV comprises:
    • A university degree in Engineering or similar
    • Solid experience with designing, building, maintaining, and up scaling large scale data management platforms
    • Technical leadership experience
    • Experience in data modeling to meet large scale requirements
    • Background or experience in Biotech, Computational Biology or Bioinformatics
    • Experience managing large research data sets of different omics types (genomics, transcriptomics, proteomics, metabolomics, etc.)
    • Experience with machine learning, knowledge graphs/graph databases, or computational modeling is a big plus.


    The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be agreed upon with the relevant union.


    We must receive your online application no later than 22 January 2021.

    Apply at

    Applications must be submitted in English as one PDF file containing all materials to be given consideration including CV, cover letter, diploma and if relevant list of publications.

    If you have any questions, you are very welcome to contact Chief Information Officer, Evelyn Travnik, at etravnik[at]

    All interested candidates irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.


    The Novo Nordisk Foundation Center for Biosustainability (DTU Biosustain) is an interdisciplinary research centre that develops new knowledge and technology to support the production of bio-chemicals using microbial production with 300 employees. The center is organised with a number of Scientific Sections and Research Groups. In the Sections, researchers do basic research to determine the spectrum of chemistry that can be produced biologically. Groups have an applied / translational approach focusing on shortening the strain design and development process. Learn more at

    About Lifelike:
    Lifelike is an integrated informatics platform that will allow us to derive deep insights from big data to address some of our world's greatest challenges. Lifelike incorporates artificial intelligence, mechanistic modeling and knowledge graphs. A human and machine-readable format allows researchers and computers to work together in solving complex problems. With the integration of universal knowledge, researchers can ask questions, generate new hypotheses, contextualize experimental data and close knowledge gaps.

    Recent progress in our ability to read and write genomic code, combined with advances in automation, analytics and data science, has fundamentally changed the scope and ambition of harnessing the potential of biological systems. Big data approaches and analysis of biological systems are key research instruments at the Center. DTU Biosustain utilizes these advances for microbial cell factory design to foster sustainable lifestyles in relation to three application areas: Sustainable Chemicals, Natural Products, and Microbial Foods.

    Learn more at

    Technology for people:
    DTU develops technology for people. With our international elite research and study programmes, we are helping to create a better world and to solve the global challenges formulated in the UN's 17 Sustainable Development Goals. Hans Christian Ørsted founded DTU in 1829 with a clear vision to develop and create value using science and engineering to benefit society. That vision lives on today. DTU has 12,000 students and 6,000 employees. We work in an international atmosphere and have an inclusive, evolving, and informal working environment. Our main campus is in Kgs. Lyngby north of Copenhagen and we have campuses in Roskilde and Ballerup and in Sisimiut in Greenland.

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