The Leibniz Institute for Resilience Research (LIR) gGmbH is a non-university research institute with the aim of researching the phenomenon of resilience, i.e. the maintenance or rapid recovery of mental health during or after acute or chronic stressful life circumstances. It investigates the mechanisms that mediate resilience, develops interventions that promote resilience and implements effective interventions in healthcare in companies, schools and universities. 

In your role as Data Steward (m/f/d) you are the hub for our eleven research groups by organizing data from different scientific areas, from molecular to behavioral, from mouse to human. The diversity of the data and its heterogeneous origin and dynamic integration poses a particular challenge for research data management. At the LIR, we are pursuing the vision of automatically processing and storing research data as soon as it is collected, in particular the extraction of metadata into an LIR-wide database. They create new databases, organize the database and user rights, and help the LIR to summarize the research data and process it for the public. Continuous training in the currently very dynamic field of research data management is provided by the LIR. The position is affiliated to the scientific working group “Computational Resilience Research” 

We are looking for the following person to start as soon as possible: 

Data Steward (m/f/d) 
(100 % job scope, 38,5 hours/week) 

Initially limited to three years, with the option of an extension.  

Your taskis include: 

Development of research data management at the Leibniz Institute for Resilience Research at the interface between research and research infrastructure based on open-source solutions 

          ◦ Integration of research data software (eLabFTW, DataLad, gitLab) 

         ◦ Establishment and administration of a study database such as Redcap (open source) 

         ◦ Preparation and maintenance of selected research data according to the FAIR standard 

         ◦ Contact person for account management and for organizational and content-related processes 

Automation of research data management 

         ◦ Data integration into a metadatabase as automatically as possible 

         ◦ Customized extensions of eLabFTW by means of PhP programming 

         ◦ Provision of interfaces for the research databases 

Supporting researchers in the sustainable handling of research data 

         ◦ Advice and support for research data management and open science 

         ◦ Conception and implementation of needs-based training courses 

Networking with Johannes-Gutenberg-University (JGU), national and international research data initiatives 

Your profile: 

• Completed scientific university degree (at least Bachelor of Science) in the fields of life science, computer science or a comparable quantitative degree program 
• Extensive programming skills  
• Database knowledge is an advantage (e.g. clinical database, metadatabases) 
• Experience with data sciences 
• Very good written and spoken German and English skills 
• Ability to work independently and autonomously 
• high level of communication skills, strong teamwork, systematic working style and organizational skills 

We offer: 

• a challenging, highly dynamic and science-driven working environment with flat hierarchies, responsibility and a great deal of creative freedom 
• flexible working hours and mobile working 
• a wide range of training and development opportunities, e.g. via the Haufe Academy 
• an employer-financed pension scheme for non-civil servants in the public sector (VBL) 

Remuneration is in accordance with TV-UM (collective agreement of the Mainz University Medical Center). 

Jun.-Prof. Dr. Janina Hesse, working group leader, will be happy to answer any technical questions you may have by e-mail or in person (janina.hesse@lir-mainz.de). 

Have we appealed to you? Then please send us your detailed application by e-mail only and in one coherent PDF file, stating your earliest possible start date until 30.06.2024 to: recruiting@lir-mainz.de. Please state the reference number LIR_95 in the subject line. 

Women are given preferential consideration for recruitment in the case of equivalent suitability, qualifications and professional performance, insofar and as long as there is an under-representation. This does not apply if there are such serious reasons in the person of an applicant that they outweigh the requirement for equal opportunities for women. Severely disabled applicants with equal qualifications will be given preference (proof required). 

www.lir-mainz.de 

Notes to data protection 

Your personal data contained in the application documents or, if applicable, obtained in the interview will be processed exclusively for the purpose of the selection procedure for this advertised position. 

The legal basis for data processing in the application process and as part of the personnel file is Section 26 (1) sentence 1 BDSG and Art. 6 (1) (b) GDPR and, if you have given your consent, for example by sending information that is not necessary for the application process, Art. 6 (1) (a) GDPR. The legal basis for data processing after a rejection is Art. 6 (1) (f) GDPR. The legal basis for storage under budgetary and tax law is Art. 6 para. 1 lit. c GDPR in conjunction with § SECTION 147 AO. Legitimate interest in processing on the basis of Art. 6 para. 1 lit. (f) GDPR is the defense against legal claims. 

As a rule, we do not require any special categories of personal data within the meaning of Art. 9 GDPR for the application process. We ask you not to send us any such information from the outset. If such information is exceptionally relevant to the application process, we will process it together with your other applicant data. This may, for example, concern information about a severe disability, which you can provide to us voluntarily and which we then have to process in order to fulfill our special obligations with regard to severely disabled persons. In these cases, the processing serves the exercise of rights or the fulfillment of legal obligations arising from labor law, social security law and social protection. The legal basis for data processing is then Art. 9 para. 2 lit. b GDPR, §§ 26 para. 3 BDSG, 164 SGB IX. In exceptional cases, it may be necessary to obtain information about your health or a disability or information from the Federal Central Criminal Register, i.e. about previous convictions, in order to assess your suitability for the intended job. The legal basis for this is § 26 BDSG. 

The person responsible for the application procedure is the addressee of the application specified below in this call for applications. 

As part of the application process within the Leibniz Institute for Resilience Research (LIR), your personal data will be passed on to Members of the selection committee, the personnel administration, the equal opportunities officer, the representative for severely disabled persons and, if applicable, the works council within the scope of their organizational or legal responsibilities. 

Your personal data will be deleted no later than six months after completion of the selection process. According to the GDPR, you have the following rights vis-à-vis the addressee of the application if the relevant legal requirements are met: right of access (Art. 15 GDPR), right to rectification of inaccurate personal data (Art. 16 GDPR); data erasure (Art. 17 GDPR), restriction of processing (Art. 18 GDPR) and objection to processing (Art. 21 GDPR).Bei Fragen können Sie sich an die Datenschutzbeauftragte des LIR wenden (datenschutzbeauftragte@lir-mainz.de) wenden. Weiterhin besteht ein Beschwerderecht beim Rheinland-Pfälzischen Datenschutzbeauftragten.  

Link to the privacy policy of LIR gGmbH: https://lir-mainz.de/datenschutz