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  • Posted: Jul 23, 2018
    Deadline: Not specified
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    The International Livestock Research Institute (ILRI) works to improve food security and reduce poverty in developing countries through research for better and more sustainable use of livestock. ILRI is a CGIAR research centre - part of a global research partnership for a food-secure future.
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    Data Innovations Specialist

    The position

    The appointee will help to ensure that we are using best practice and current state of the art to ensure that we are capturing data as efficiently as possible, extracting the maximum value from it and making it available in a useful form to our stakeholders. The appointee will be expected to provide initial development and proof of principle of novel systems and to work with senior scientists to ensure that project data staff are using best practice.

    The appointee will report directly the LiveGene program leader and will be explicitly tasked with ‘horizon scanning’ to look for emerging information technologies to help ILRI achieve its mandate. They will not become part of the routine support for any particular project but they will identify and break information bottlenecks and ensure that our systems are sustainable, robust and scalable and that they meet our present and anticipated needs.  They will be expected to provide guidance and support for additional recruitments in the data systems field to help us to build a dynamic, effective and agile data team.

    KeyResponsibilities

    Key responsibilities:

    • Advise senior scientists on strategic data systems architecture to ensure scalable and sustainable data solutions that meet the needs of ILRI and LiveGene’s research
    • Prototype novel tools and bring them to bear on ILRI’s data needs before handing them on for routine implementation and maintenance.
      • For example, we imagine urgent evaluation of the potential of tools such as Tensor flow, natural language processing, chatbots, serverless systems, graph databases, cloud-based APIs etc to our data sets. We imagine a subset of these and others being prototyped with real data very rapidly.
    • Help transition prototyped tools into “production” environments. Will involve advising/overseeing strategies for:
      • Monitoring and alerting
      • (Auto) scaling for availability
      • Logging
      • Deployment
      • Data security (in compliance with regulations like GDPR, HIPAA, and CGIAR’s Open Data policy)
    • Support, mentor and inspire other coders
    • Assist with troubleshooting of existing data pipelines
    • Establish systems for monitoring our infrastructure, eg to detect intrusions, performance degradation, anomalous behavior etc
    • Maintain excellent records of all work, especially with respect to code versioning and systems architecture
    • Provide specialist non-routine systems administration and advice
    • Initiate specialist systems setup – eg of serverless systems and deliver them to the point at which they are maintainable by project staff
    • Create and inspire a cross-program data innovations community of practice

    Requirements

    • A first degree in computer science plus relevant post graduate experience.
    • At least 5 years of relevant work experience.
    • Advanced database (MySQL and PostgreSQL) skills
    • Advanced linux systems skills
    • Experienced in the use of Git for managing complex projects
    • A solid background in software programming
    • Experience of developing innovative and scalable solutions in an intensive, action-oriented environment
    • Ability to inspire and lead others
    • Effective communicator

    Terms of Appointment

    These are Nationally Recruited Staff (NRS) position; based at Nairobi, Kenya and open to Kenyan nationals only. The position is on a 3-year contract, renewable subject to satisfactory performance and availability of funding.

    Job Level

    This position is job level 3B, ILRI offers a competitive salary and benefits package which includes; pension, medical and other insurances for ILRI’s Nationally Recruited Staff.

    Method of Application

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