The Biozentrum of the University of Basel is one of the leading Life Sciences Institutes in the world. It accommodates 30 research groups and 500 employees investigating how molecules and cells create life, spanning the scale from atom to organism. Founded in 1971, the Biozentrum has been the birthplace of many fundamental discoveries in biology and medicine, spawning several Nobel Laureates.
The National Center of Competence in Research (NCCR) “AntiResist: New approaches to combat antibiotic-resistant bacteria” (2020-2032) is a Swiss-wide interdisciplinary center for antibiotic research with strong collaborations between biologists, clinicians, engineers, computational scientists and chemists. This network is funded by the Swiss National Science Foundation as part of their major support in strengthening research in areas of strategic importance. Our goals are to develop laboratory models mimicking infection processes in human patients, and to use these models to discover innovative antibiotics and alternative strategies to combat antibiotic-resistant bacteria. At the core of this venture are direct links between basic and clinical research, bioengineering, and the pharmaceutical industry to help solving the current antibiotic crisis.
NCCR AntiResist is recruiting for the position of Research Data Officer, 100%.
The Research Data Officer (RDO) is responsible for building and managing the Research Data Ecosystem of the consortium. The RDO is a member of the extended management team of NCCR AntiResist and a member of the Data Management Committee of NCCR AntiResist. The research data of the project will be distributed on a heterogeneous set of existing, and possibly some new data management systems for different types of data (microscopy, next-generation sequencing, proteomics). In collaboration with data providers involved in the project (e.g., technology facilities across the consortium) and with scientific IT platforms at the University Hospital Basel (USB) and University of Basel (sciCORE)), the RDO and the Medical Data Officer (MDO) will coordinate the Data Management Committee to develop and maintain an environment supporting data federation (e.g., cross-linking identifiers at the various service platforms and/or linking data hosted in local data management systems).
Key responsibilities include, but are not limited to the following:
- Together with the MDO, the RDO develops the Research Data Management Strategy (RDS) according to institutional and funder’s guidelines. The RDO and MDO represent the RDS internally (e.g. towards the AntiResist Management) as well as externally (e.g. annually towards the Swiss National Science Foundation (SNSF)).
- The Research Data Officer and the Medical Data Officer coordinate closely in cooperation with the data stakeholders for the implementation of processes and standards.
- Designs and implements the data management environment of the project (database “crawlers” and “scrapers”, monitoring availability of data in federated systems, etc.), with support from software-developer capacity made available through funding of the project.
- Builds and maintains an overview of the data flows in the project.
- In collaboration with institutional technology facilities and their data repositories, sets-up and maintains an overarching database to host and inter-link research data (data federation).
- Develops ETL/ELT scripts tailored to different subject specific databases that store the data generated in the AntiResist project.
- Collaborates with the MDO to merge clinical and experimental research data (different sources, different formats).
- Ensures integrity of the research data and monitors AntiResist scientists for compliance with documentation and sharing policies according to the FAIR principles.
- Assists researchers with data annotation and transfer.
- Assists and proposes metadata schema for the specific data types produced in the project.
- Promoting internal and external data compatibility and data portability in the AntiResist project.
- Ensures that the data reported in the NCCR AntiResist scientific publications comply with the SNSF open science policies.
In execution of these functions, the RDO deals with the data produced by the non-clinical part of the consortium and works with the MDO to merge this data with clinical data. The aim of the consortium is to manage the data according to the FAIR principles (findable, accessible, interoperable, reusable).
Who You Are
For this challenging and exciting position, we are looking for these qualifications:
- MSc or PhD in Computer Science or Bioinformatics with experience in supporting Life Science research, alternatively an equivalent degree in a life science discipline with a strong background in big data and data management/data stewardship.
- Proficient in managing life-science data over the entire data life cycle: from data capture, annotation with controlled vocabularies/ontologies, QC and curation, to publication in domain-specific repositories (e.g. Pride, EGA, PDB, etc.)
- Min. 3 years of experience working in a support role with more than one research data management system (e.g. LIMS (e.g. Labkey), ELN, data type-specific data management system (Omero, Orthanc, etc.).
- Highly proficient with at least one scripting language (Python preferred), including development of interface code between systems using APIs (XML, JSON).
- In-depth understanding of database technologies (SQL, NoSQL; schema design, APIs).
- Thrives on multidisciplinary team collaborations.
- Excellent organizational skills, capable of working autonomously.
- Excellent communication skills (i.e., able to interact and communicate with stakeholders spanning different disciplines and from different background and career stage).
- Networking and cross-functional project management skills.
- Working language is English (oral and written).
We offer a highly visible, vibrant, inclusive, and flexible international working environment in a network of world-leading research institutes and pharmaceutical companies in Switzerland. The working place is at University of Basel as home institution of the NCCR. The RDO will report to the scientific leadership of the NCCR project and will be embedded in sciCORE, the scientific computing center of University of Basel (https://scicore.unibas.ch/). Salary will be commensurate with institutional guidelines of the University of Basel and level of experience. The position is available immediately. The initial contract is for 1 year, with the expectation to extend to each continued 4-year phase of the NCCR. The position of Research Data Officer is extendable up to the full program ending in 2032.
Application / Contact
Please apply online: https://biped2.biozentrum.unibas.ch/application/form/151/1
The application should include a brief personal statement, explaining how your qualifications and experience make you a good candidate for this job, together with a full, up-to-date CV and addresses of 2 references.
We start reviewing applications from 1 October 2022 until the position is filled. Please note that only online applications via the platform link will be accepted. For further information, please send an email to recruitmentnccr-antiresistch