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Research scientist in the field of data Management / big data / bioinformatics in der Städteregion Aachen
Referenznummer: acjobs-st-20926

Forschungszentrum Jülich GmbH - Vollzeitbeschäftigung
Start ab sofort - Online seit dem 07.11.2018


Job-Zusammenfassung

As a member of the Helmholtz Association, Forschungszentrum Jülich makes an effective contribution to solving major challenges facing society in the fields of information, energy,bioeconomy. It focuses on various tasks in the area of research managementutilizes large, often unique, scientific infrastructure. Comework with around 5,900 colleagues across a range of topicsdisciplines at one of Europe's largest research centres.
The Institute of Bio-Geosciences – Plant Sciences (IBG-2) develops integrated bioeconomic concepts for the sustainable intensification of crop production. The aim is to improve yield, adjust quality to various forms of use (groceries, animal feed, raw materials, bioenergy), close nutrient cycles,adapt processes to future climateproduction conditions. IBG-2 is a world leader in the field of plant phenotyping, driven by its outstanding expertise in explaining the dynamic interactionplantsthe environment, combined with technological development, engineeringbioinformatics. Within this context, the institute developsoperates relevant next-generation infrastructure platformstechnologiesmakes them available to external users (DPPN, EPPN2020, IPPN, EMPHASIS).
Infrastructure platforms for plant phenotyping produce large volumes of data, which require sound management to ensure they are available, accessible, interoperablereusable for the scientific community. Within the scope of the EPPN 2020, Emphasis,EOSC-Life projects, IBG-2 is working together with international partners on a pan-European e-infrastructureis developing data management strategies, toolsdemonstrators.
We are looking to recruit a
Research scientist in the field of data Management / big data / bioinformaticsThe aims of the position are: (i) to structurestandardize existing data to enable interoperability; (ii) to prepare metadata in accordance with the FAIR principles;(iii) to develop software that is capable of handling large volumes of scientific data, adapting itself to evolving data models,enabling useful access in the form of a standard application programming interface (API)a graphical user interface (GUI). Furthermore, a key function of the position is to developdefine data models, which will be aggregated in ontologies. With the aid of automatic code generators, the aforementioned standard APIGUI should then be automatically generated for such aof data models. Data storage must be capable of integrating various technologiessupporting distribution.
Your main task will be the coordinationstrategic scientific development of software tools (code generators)frameworks for the generationprovision of installations of large data integration platforms. You will also interact with an interdisciplinary group of scientists that generales diverse very different datauses this data data for their research activities. An important aspect of the position is the communication and, above all, the informationdata flowvarious employees in these projectsadditional users within the European plant phenotyping community. You will need to understand the structure of the obtained dataidentify what parts of the data are used by employees in order to distinguishraw datadata to be processed. In addition, the raw data must be sufficiently secured to enable future analysis using innovative methods; the data to be processed must be structuredpresented in appropriate data models. The exchangeintegration of data is crucial to enable meta-analysescollaborationvarious research groupsdisciplines. You should therefore have sound knowledge of web development technology and, in particular, data storage frameworks. Team leadership skills, communication skillsproject management expertise are essential for overseeing the efficient development of software tools that automatically generate standardized APIGUI access to a range of data models.
university degree, preferably a doctoral degree, in informaticsthe natural sciences with relevantproven experience in the field of work
sound knowledge ofexperience in scientific issues related to big data
experience in teamproject management, preferably in an international context
very good experience in the design, developmentimplementation of requirement-oriented, complex web applications, database applicationsstorage technologies using conventional programming languagestools on various platforms; preferably in a biologicalscientific context
knowledge ofexperience in distributed computing and/or the parallelization of applications (workload managers, Pachyderm framework)
experience inknowledge of Node.js web developmentat least one single-page application JavaScript framework (Vue.js, ReactAngularJS)
experience in an additional programming language (R, Scala, Python, C/C++, Fortran)
knowledge of open API/Swagger stack
experience in Scrum/agiletest-driven development
knowledge ofexperience in various data storage technologies: relational databases (Postgres), document-based NoSQL databases (MongoDB, Cassandra, HBase), in-memory key-value stores (REDIS), large data storage devicesrelated technologies (Apache Hadoop, Hive, Presto, HDF5)
knowledge ofpreferably experience in distributed computing (MapReduce, Apache Sparkparticularly Pachyderm)
preferably experience in VimEmacs
knowledge of statistics
excellent collaborationcommunication skills
good command of English

an interdisciplinary working environment at a leading scientific institution
the opportunity to become part of the nationalinternational scientific community
exciting working environment on an attractive research campus, ideally situatedthe cities of Cologne, DüsseldorfAachen
a comprehensive further training programme for professional development
flexible working hoursvarious opportunities to reconcile workfamily life
employment initially for a fixed term of three years but with long-term prospects
full-time position with the option of slightly reduced working hours
Salarysocial benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD)

For more information, please visit our website (http://www.fz-juelich.de/ibg/ibg-2/EN/Home/home_node.html)
Forschungszentrum Jülich aims to employ more women in this areatherefore particularly welcomes applicationswomen.
We also welcome applicationsdisabled persons.

Bitte geben Sie bei Ihrer Bewerbung die Referenznummer acjobs-st-20926 an.


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