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Competitive salary: Base salary according to the Collective Bargaining Agreement for General University Staff (§ 54 VwGr. IVa – € 48,304.20 annually, on a full-time basis), increasing with credited professional experience. Employment Extent: 34 hweek Stimulating research environment: From advanced BioNMR facility management to metabolomics and AI-driven data analysis, with the possibility to participate in research projects led by the Orts group.

Professional development: Access to a wide range of free internal training courses. Location: Walking distance from Vienna’s historic city centre, with excellent public transport connections. Family support: University childcare facilities through the Kinderbüro (from 6 months of age).

Inclusive workplace: The University of Vienna is committed to equal opportunities, diversity, and the advancement of underrepresented groups. It’s that easy to apply: Please submit a single PDF containing: Cover letter (maximum 1 page) Curriculum vitae List of relevant publications, projects or professional portfolios (e.g., GitHub repositories demonstrating coding experience) Copies of relevant degree or qualification certificates Contact information for at least two references Submit via the University of Vienna job portal using the Apply Now button. If you have any content questions, please contact: Julien Orts We look forward to new personalities in our team!

The University of Vienna has an anti-discriminatory employment policy and attaches great importance to equal opportunities, the advancement of women and diversity. We place particular emphasis on enhancing women’s representation among the academic and general university staff, particularly in leadership roles, and therefore expressly encourage qualified women to apply. Given equal qualifications, preference will be given to female candidates.

University of Vienna. Space for personalities. Since 1365.

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Gehalt: ab EUR 3.443 brutto/Monat At the University of Vienna, almost 11,000 individuals explore the mysteries that shape our future. Among them, approximately 3,000 dedicated employees provide administrative and technical support for cutting-edge international research and teaching. With us you will discover a nurturing environment that encourages your continuous aspiration to discover and shape innovative solutions.

Does this resonate with your ambitions? We are currently seeking a/an Lab Coordinator BioNMR Facility & Data Science Specialist 50 Faculty of Life Sciences Job vacancy starting: | Working hours: 34.00 | Classification CBA: §54 VwGr. IVa Limited contract until: Job ID: 6249 The position is available immediately, with the option of part-time work.

The position is initially limited to four years, with the option of a permanent position following an evaluation of the University of Vienna’s „Bio NMR“ Core Facility in the fourth year. Your personal sphere of influence: The BioNMR Core Facility, led by Assoc.-Prof. Dr.

Julien Orts within the Department of Pharmaceutical Sciences, is seeking a motivated BioNMR Facility & Data Science Specialist with expertise in BioNMR facility operations, user support, and data pipeline development. This is a versatile, hands-on role that combines instrument and infrastructure management with modern data science and coding — an ideal position for candidates who want to operate at the interface of analytical science and computational workflows. The facility serves a user base of over 100 researchers and maintains strong academic and industrial collaborations.

The appointed candidate will act as the operational core of the facility. All responsibilities listed in this advertisement are considered essential functions of the role. Effective performance across all areas — including user support, instrument operations, and data pipeline development — is required throughout the duration of the contract.

Working Environment The BioNMR Core Facility is equipped with the following instruments: 700 MHz spectrometer (cryoprobe, SampleJet) Two 500 MHz spectrometers (cryoprobes, SampleJet) Open-access 400 MHz spectrometer Open-access 200 MHz spectrometer Full facility details: NMR Spectroscopy The facility is embedded in a young and dynamic department with a collaborative culture spanning both academic and industry partnerships. Key Responsibilities Technical Troubleshooting & Maintenance Provide first-level troubleshooting for instrument and software issues. Liaise with vendor support and coordinate problem resolution.

Conduct routine maintenance and monitor instrument performance. User Support & Training Assist users for complex measurement operations. Independently onboard new users through instrument usage procedures and safety protocols.

Data Pipeline Development (including metabolomics and AI) Build, maintain, and execute automated data-processing pipelines using Python and/or R. Implement statistics, database matching, and quality control algorithms. The successful candidate is expected to independently maintain and develop these technical competencies in line with evolving facility demands.

AI & Workflow Optimization Integrate machine learning tools for automated spectral processing tasks (e.g., peak picking, artifact removal). Identify and implement workflow improvements to increase throughput and reproducibility. IT Coordination & Data Management Oversee facility IT infrastructure for data acquisition, storage, and software.

Coordinate system updates, backups, data export, archiving, and quality checks. Safety Compliance Ensure user safety during NMR operations, including magnet safety training and cryogen handling oversight. Maintain facility safety standards, restricted access controls, emergency procedures, and safety documentation.

Collaborative Research Engage in collaborative research projects with groups at the University of Vienna and (commercial) external partners, where capacity permits, extending beyond core service operations. This is part of your personality: We are looking for a candidate who: Holds a Master’s or Ph.D. degree in biophysics, physical chemistry, bioinformatics, data science, chemistry, or a related quantitative discipline. Has hands-on experience with NMR spectroscopy, data processing pipelines, and programming (Python and/or R).

Demonstrates a strong interest in analytical workflows, chemometrics, and/or AI applications in the life sciences. Is highly motivated, service-oriented, and an effective team collaborator. Possesses strong interpersonal and communication skills suited to supporting a large and diverse user base.