Imaging Data Engineer @ Health-RI Limburg

Job Description

Major duties:

• Mission: Enable FAIR imaging data for secondary use;
• Goal: Liberate imaging data and make it available for reuse;
• Join various imaging data projects and teams and interact with internal and external parties in research, society, and commercial organizations;
• Guide and support imaging data requests at clinical partners including: ethical approval process, privacy assessments, security assessments, legal agreement review and approval, and managerial approval;
• Design, document, implement and maintain efficient data capture, transfer and reuse processes using standard methodologies and good practices;
• Collaborative design and implement ETL processes and data processing pipelines including: data capturing, acquisition, cleaning, integration, quality testing, indexing, and co-developing FAIR (Findable, Accessible, Interoperable, Reusable) data infrastructures.

Requirements / Your Profile

We require:

• MSc degree (or higher) in Computer Science, Electrical Engineering, (Bio)medical Engineering, Data Science, or a related field;
• Demonstrated experience in handling and processing large-scale imaging datasets;
• Experience with imaging modalities such as MRI, CT, X-ray, ultrasound, or microscopy.
• Proficiency in Python/C++/Java;
• Familiarity with SQL and NoSQL databases, as well as large storage solutions/data lakes;
• Passion for open and reusable (FAIR) data;
• Proficiency in using imaging software such as XNAT;
• Knowledge of common hospital information systems in Dutch health care organizations;
• Knowledge of relevant regulations associated with secondary data use (e.g. consent, privacy, GDPR, WBSO);
• Proficiency in common office tools (e.g. Outlook, Teams, Word);
• Excellent interpersonal skills and a high degree of professionalism;
• Fluent in Dutch (at least B2);
• Fluent in English (better than IELTS 7, CEFR C1, or equivalent) and have strong verbal and written communications skills.

Additional preferences:

• A PhD degree in a relevant field can be advantageous;
• Experience in academic or industrial research settings;
• Experience with openEHR and OMOP;
• Experience with HL7 standards, especially FHIR;
• Experience with Dutch Healthcare standards like ZIBs;
• Experience working with Agile/Scrum methodology.

What we offer
As an Imaging data engineer @ Health-RI Limburg at the Faculty of Health, Medicine and Life Sciences, you will be employed by the most international university in the Netherlands, located in the beautiful city of Maastricht. In addition, we offer you:

• Good employment conditions. The position is graded in scale 9 - 11 according to UFO profile developer ICT, with corresponding salary based on experience ranging from €3502,00 and €6148,00 gross per month (based on a full-time employment of 38 hours per week). In addition to the monthly salary, an 8.0% holiday allowance and an 8.3% year-end bonus apply.
• An employment contract for a period of 12 months with a scope of 0.6 to 1.0 FTE. Upon proven suitability, the employment contract will be converted to an indefinite contract. 
• At Maastricht University, the well-being of our employees is of utmost importance, we offer flexible working hours and the possibility to work partly from home if the nature of your position allows it. You will receive a monthly commuting and internet allowance for this. If you work full-time, you will be entitled to 29 vacation days and 4 additional public holidays per year, namely carnival Monday, carnival Tuesday, Good Friday, and Liberation Day. If you choose to accumulate compensation hours, an additional 12 days will be added. Furthermore, you can personalize your employment conditions through a collective labor agreement (CAO) choice model. 
• As Maastricht University, we offer various other excellent secondary employment conditions. These include a good pension scheme with the ABP and the opportunity for UM employees to participate in company fitness and make use of the extensive sports facilities that we also offer to our students. 
• Last but certainly not least, we provide the space and facilities for your personal and professional development. We facilitate this by offering a wide range of training programs and supporting various well-established initiatives such as 'acknowledge and appreciate'. 
   

The terms of employment at Maastricht University are largely set out in the collective labor agreement of Dutch Universities. In addition, local provisions specific to UM apply. For more information, click here.

Maastricht University
Why work at Maastricht University?

At Maastricht University (UM), everything revolves around the future. The future of our students, as we work to equip them with a solid, broad-based foundation for the rest of their lives. And the future of society, as we seek solutions through our research to issues from all around the world. Our six faculties combined provide a comprehensive package of study programmes and research.

In our teaching, we use the Problem-Based Learning (PBL) method. Students work in small groups, looking for solutions to problems themselves. By discussing issues and working together to draw conclusions, formulate answers and present them to their peers, students develop essential skills for their future careers.

With over 22,300 students and more than 5,000 employees from all over the world, UM is home to a vibrant and inspiring international community.

Are you drawn to an international setting focused on education, science and scholarship? Are you keen to contribute however your skills and qualities allow? Our door is open to you! As a young European university, we value your talent and look forward to creating the future together.

Click here for more information about UM. 

Faculty of Health, Medicine and Life Sciences
At the Faculty of Health, Medicine and Life Sciences (FHML), everything revolves around healthy living. Our research and education are not solely focused on recovery, but place a strong emphasis on prevention, health preservation, and health promotion. Our aim is to use our knowledge and expertise to genuinely contribute to the well-being of individual people as well as society in total. 

In, research, and healthcare, FHML is closely collaborating with the academic hospital in Maastricht, together forming the Maastricht University Medical Center (MUMC+).  FHML is strongly connected in education, research, and care with the Maastricht academic hospital, together with which it forms the Maastricht University Medical Centre (MUMC+). 

FHML, which is the largest faculty of Maastricht University, is formed by an (inter)national community of employees and students. The faculty offers a wide range of Dutch and English-taught bachelor's and master's programs in innovative educational concepts in which the emphasis is always on building bridges to practice.
 

The multidisciplinary research of the FHML focuses on a number of carefully chosen topical current themes. In addition to research aimed at gaining new insights, it also concerns research whose results can be directly translated into concrete applications and innovations. The implementation of the various research programs is organized in our six graduate schools and two institutes.

 
Department

DataHub provides various services related to data management in (medical) research. We are a cross-organizational community within Maastricht UMC+ and work on FAIR data management solutions for researchers from both the academic hospital and the university. DataHub develops and manages an institutional repository for research data and enables researchers to store and retrieve scientific data in a sustainable way. More information on https://datahubmaastricht.nl/

Curious?
Are you interested in this exciting position but still have questions? Feel free to contact Pascal Suppers, Managing Director at DataHub at p.suppers@maastrichtuniversity.nl / +31 (0)6 2707 1654 or Joost de Jong, Senior Researcher and Scientific Imaging Engineer at Department of Radiology and Nuclear Medicine at j.dejong@mumc.nl for more information. 

Applying?
Or are you already convinced and ready to become our new new clinical data modeler? Apply now, no later than November 5, for this position.

The vacancy is open for internal and external candidates. In case of equal qualifications, internal candidates will be prioritized.

Maastricht University is committed to promoting and nurturing a diverse and inclusive community. We believe that diversity in our staff and student population contributes to the quality of research and education at UM, and strive to enable this through inclusive policies and innovative projects led by teams of staff and students. We encourage you to apply for this position.