Research scientist in the field of data Management / big data / bioinformatics

Forschungszentrum Jülich - FZJ - Helmholtz Association

Jülich, Germany

Work group:

IBG-2 - Pflanzenwissenschaften

Area of research:

Scientific / postdoctoral posts

Job description:

Your Job:

The aims of the position are: (i) to structure and standardize existing data to enable interoperability; (ii) to prepare metadata in accordance with the FAIR principles; and (iii) to develop software that is capable of handling large volumes of scientific data, adapting itself to evolving data models, and enabling useful access in the form of a standard application programming interface (API) and a graphical user interface (GUI). Furthermore, a key function of the position is to develop and define data models, which will be aggregated in ontologies. With the aid of automatic code generators, the aforementioned standard API and GUI should then be automatically generated for such a set of data models. Data storage must be capable of integrating various technologies and supporting distribution.Your main task will be the coordination and strategic scientific development of software tools (code generators) and frameworks for the generation and provision of installations of large, data integration platforms. You will also interact with an interdisciplinary group of scientists who generate very different data or use these data for their research activities. An important aspect of the position is the communication and, above all, the information and data flow between various employees in these projects and additional users within the European plant phenotyping community. You will need to understand the structure of these data and identify what parts of the data are used by employees in order to distinguish between the raw data and the data 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 structured and presented in appropriate data models. The exchange and integration of data is crucial to enabling meta-analyses and collaboration between various research groups and disciplines. You should therefore have sound knowledge of web development technology and, in particular, data storage frameworks. Team leadership skills, communication skills, and project management expertise are essential for overseeing the efficient development of software tools that automatically generate standardized API and GUI access to a range of data models.

Your Profile:

University degree, preferably a doctoral degree, in informatics or the natural sciences with relevant and proven experience in the field of work Sound knowledge of and experience in scientific issues related to big data Experience in team and project management, preferably in an international context Very good experience in the design, development, and implementation of requirement-oriented, complex web applications, database applications, and storage technologies using conventional programming languages and tools on various platforms; preferably in a biological or scientific context Knowledge of and experience in distributed computing and/or the parallelization of applications (workload managers, Pachyderm framework) Experience in and knowledge of Node.js web development and at least one single-page application JavaScript framework (Vue.js, React, or AngularJS) Experience in an additional programming language (R, Scala, Python, C/C++, Fortran) Experience in Linux administration, Shell, and particularly Docker Knowledge of open API/Swagger stack Experience in Scrum/agile and test-driven development Knowledge of and experience in various data storage technologies: relational databases (Postgres), document-based NoSQL databases (MongoDB, Cassandra, HBase), in-memory key-value stores (REDIS), large data storage devices and related technologies (Apache Hadoop, Hive, Presto, HDF5) Knowledge of and preferably experience in distributed computing (MapReduce, Apache Spark, and particularly Pachyderm) Preferable experience in Vim and Emacs Knowledge of statistics Excellent collaboration and communication skills Good command of English

Our Offer:

An interdisciplinary working environment with excellent facilities for bioinformatics in plant phenotyping Research The opportunity to become part of the national and international scientific community Exciting working environment on an attractive research campus, ideally situated between the cities of Cologne, Düsseldorf, and Aachen A comprehensive further training Programme for professional development Flexible working hours and various opportunities to reconcile work and family 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 Salary and social benefits in conformity with the provisions of the Collective Agreement for the Civil Service (TVöD).

For more information, please visit our Website Jülich aims to employ more women in this area and therefore particularly welcomes applications from women.We also welcome applications from disabled persons.

Please apply via recruiter’s website.

Quote Reference: Helmholtz-2018-315