Technician / Data Manager

Universität Innsbruck; Wien; Vor Ort; EUR 40 000 - 60 000; Vollzeit

Zusammenfassung

In a leading university in Vienna, we seek a Data Manager in the AICARD Research Project to handle medical data. This role involves developing tools for data analysis and research collaboration with experts, ensuring impactful results in cardiac research. Ideal candidates will possess a strong background in scientific computing and data engineering, alongside excellent organizational skills and a passion for working independently and as part of a team.

Leistungen

Flexible working hours

Opportunities for continuous training

Family-friendly working environment

Good public transport connections

Relaxed work atmosphere

Qualifikationen

• Completed Bachelor’s degree or equivalent in a relevant technical field.
• Solid knowledge in scientific computing and data engineering.
• Experience with data management systems and frameworks.

Aufgaben

• Manage and analyze medical data within the AICARD Research Project.
• Develop methods/tools for effective research.
• Collaborate with experts in cardiac research.

Kenntnisse

Scientific computing

Data engineering

Machine learning

Statistical analysis

Data protection standards (e.g. GDPR)

Ausbildung

Bachelor’s degree in Computer Science, Data Science, Bioinformatics, or related field

Master’s degree (preferred)

Tools

SQL

NoSQL databases (e.g. MongoDB, ElasticSearch)

Docker

Git, GitHub, GitLab

Jobbeschreibung

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an

39 Faculty of Computer Science

Job vacancy starting:09/01/2025(MM-DD-YYYY)

Working hours: 30,00

Classification CBA:§54 VwGr. IIIb

Job ID:3969

If you love working with medical data and prefer engaging in meaningful projects, then welcome to the team! Here, we collaborate with individuals who strive to make a positive impact on society through their work. This is a place where communication thrives, offering the necessary freedom, professionalism, and a high standard of excellence.

The position offers flexibility in terms of working hours. You can choose between 30 hours per week until December 31, 2026, or 40 hours per week until August 31, 2026. Additionally, there is an option to negotiate a customized weekly workload within this range.

We look forward to finding a solution that suits you best!

Your personal sphere of influence:

Join the AICARD Research Project ’Transforming Cardiac Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data’ as Data Manager. Work alongside leading experts at the Computational Imaging Research Lab (CIR ) and the Department of Cardiology at the Medical University of Vienna and Visualization and Data Analysis Research Group (VDA ) at University of Vienna. AICARD aims to transform cardiac research by exploring routine clinical data through advanced machine learning and visualization techniques. As part of our vibrant and interdisciplinary team, together with the also newly created positions of Ph.D. Machine Learning and of Ph.D. Visual Data Analysis you will develop methods/tools to enable more effective research, e.g., enabling medical professionals to explore and discover patterns in disease progression and to assess treatment response.

This is part of your personality:

Completed Bachelor’s degree or equivalent in Computer Science, Data Science, Bioinformatics, Medical Informatics, or a related technical field. A Master’s degree is a plus but not a requirement

Solid knowledge in scientific computing and data engineering

Formal education or practical experience in computer science or data engineering

Strong initiative and excellent organizational skills

Passion for developing and optimizing advanced data infrastructures

Experience handling sensitive data and familiarity with relevant data protection standards (e.g. GDPR), ideally in the healthcare sector

Proficient in working with data management systems and frameworks (e.g. SQL, NoSQL databases like MongoDB or ElasticSearch)

Familiar with container technologies (e.g. Docker)

Hands-on experience with version control and collaborative development tools (e.g. Git, GitHub, GitLab)

Basic knowledge of machine learning and statistical analysis methods

Your special working style: You like to work independently and in a structured manner, you are service-oriented and you like to find solutions. You are a team player and have high social and communicative skills.

This is part of your personality:

Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement).

Inspiring working atmosphere: You are part of a committed team with diverse university backgrounds in a relaxed work environment.

Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.

Internal further training: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from - free of charge.

Fair salary: The basic salary of EUR 3.071,3 (40 hours) increases if we can credit professional experience.

Equal opportunities for all: We welcome every additional/new personality to the team!

It’s that easy to apply:

• With your CV / letter of motivation
• Leaving certificate
• Further documents, if necessary.
• Via our job portal / apply button

If you have any questions, please contact:

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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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.

Apply now »

Technician / Data Manager

The University of Vienna is a community of over 10,000 individuals, including approximately 7,500 academic staff members, who passionately pursue answers to the profound questions that shape our future. They represent individuals driven by curiosity and a relentless pursuit of excellence. With us, they find the space to try things out and unfold their potential. Are you inspired by their passion and determination? We are currently seeking a/an

Technician / Data Manager

39 Faculty of Computer Science

Job vacancy starting:09/01/2025(MM-DD-YYYY)

Working hours: 30,00

Classification CBA:§54 VwGr. IIIb

Limited contract until:01/31/2027

Job ID:3969

If you love working with medical data and prefer engaging in meaningful projects, then welcome to the team! Here, we collaborate with individuals who strive to make a positive impact on society through their work. This is a place where communication thrives, offering the necessary freedom, professionalism, and a high standard of excellence.

The position offers flexibility in terms of working hours. You can choose between 30 hours per week until December 31, 2026, or 40 hours per week until August 31, 2026. Additionally, there is an option to negotiate a customized weekly workload within this range.

We look forward to finding a solution that suits you best!

Your personal sphere of influence:

Join the AICARD Research Project ’Transforming Cardiac Research: Visual Exploration and AI Prediction Modeling of Real-Life, Multi-Modal Data’ as Data Manager. Work alongside leading experts at the Computational Imaging Research Lab (CIR ) and the Department of Cardiology at the Medical University of Vienna and Visualization and Data Analysis Research Group (VDA ) at University of Vienna. AICARD aims to transform cardiac research by exploring routine clinical data through advanced machine learning and visualization techniques. As part of our vibrant and interdisciplinary team, together with the also newly created positions of Ph.D. Machine Learning and of Ph.D. Visual Data Analysis you will develop methods/tools to enable more effective research, e.g., enabling medical professionals to explore and discover patterns in disease progression and to assess treatment response.

This is part of your personality:

• Completed Bachelor’s degree or equivalent in Computer Science, Data Science, Bioinformatics, Medical Informatics, or a related technical field. A Master’s degree is a plus but not a requirement

• Solid knowledge in scientific computing and data engineering

• Formal education or practical experience in computer science or data engineering

• Strong initiative and excellent organizational skills

• Passion for developing and optimizing advanced data infrastructures

• Experience handling sensitive data and familiarity with relevant data protection standards (e.g. GDPR), ideally in the healthcare sector

• Proficient in working with data management systems and frameworks (e.g. SQL, NoSQL databases like MongoDB or ElasticSearch)

• Familiar with container technologies (e.g. Docker)

• Hands-on experience with version control and collaborative development tools (e.g. Git, GitHub, GitLab)

• Basic knowledge of machine learning and statistical analysis methods

Your special working style: You like to work independently and in a structured manner, you are service-oriented and you like to find solutions. You are a team player and have high social and communicative skills.

This is part of your personality:

Work-life balance: Our employees enjoy flexible, family-friendly working hours, remote/hybrid and/or part-time work (upon agreement).

Inspiring working atmosphere: You are part of a committed team with diverse university backgrounds in a relaxed work environment.

Good public transport connections: Your workplace in the center of beautiful Vienna is easily accessible by public transport.

Internal further training: Opportunity to deepen your skills on an ongoing basis. There are over 600 courses to choose from - free of charge.

Fair salary: The basic salary of EUR 3.071,3 (40 hours) increases if we can credit professional experience.

Equal opportunities for all: We welcome every additional/new personality to the team!

It’s that easy to apply:

• With your CV / letter of motivation
• Leaving certificate
• Further documents, if necessary.
• Via our job portal / apply button

If you have any questions, please contact:

Charlotte Zott
[e-mail]

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 lay special emphasis on increasing the number of women in senior and in academic positions among the academic and general university staff 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.

Data protection
Application deadline:07/19/2025(MM-DD-YYYY)

Laboratory & Technology

Apply now »

Find similar jobs:

Laboratory & Technology, Alle Jobangebote, All Vacancies

In your application, please refer to myScience.at and referenceJobID46499.