Postdoctoral Researcher on FAIR data infrastructures (1.0FTE), Faculty of Health, Medicine and Life Sciences / Clinical Data Science Group

Postdoctoral Researcher on FAIR data infrastructures (1.0FTE), Faculty of Health, Medicine and Life Sciences / Clinical Data Science Group

Published Deadline Location
2 Dec 10 Jan Maastricht

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The Clinical Data Science group of Maastricht University focuses on data science research in three interlocking themes
1. The development of FAIR data infrastructures for real world health data
2. The learning of health outcome prediction models from real world data
3. The application of health outcome prediction models to improve health
To advance research in Theme 1, Maastricht UMC+ has a vacancy for a
Postdoctoral Researcher on FAIR data infrastructures (1.0FTE)

Job description

The postdoctoral researcher will be part of an interdisciplinary team of about 30FTE consisting of data & computer scientists, medical physicists, informaticists, physicians, PhD, MSC & BSc students, software engineers and researchers.

The postdoctoral researcher will coordinate multiple funded research projects and find new funding for future research projects. She/he will extend the group’s efforts on the reuse of health data working with care organizations and other relevant entities and will participate in national initiatives with similar aims (VSNU Digital Society Agenda, NFU Health-RI, NL AI Coalition).

The final goal of the postdoctoral researcher is to make health data FAIR in a federated learning infrastructure (www.personalhealthtrain.nl).  

As an academic position focused on research, you will mentor and recruit PhD students and have limited teaching responsibilities.

Specifications

Maastricht University (UM)

Requirements

We are looking for a candidate with the following characteristics:

A PhD degree in Health Informatics, Computer Science or Information Systems or comparable
Expertise in data integration and business intelligence incl. relational databases, data  warehouses , ETL, SQL, etc.
Excellent language skills in English and preferably Dutch
Good written and verbal communication skills and the ability to work in a multidisciplinary team

Our preferred candidate furthermore has the following characteristics
Experience with ontologies, Semantic Web technology and FAIR data
Knowledge of common health terminologies and interoperability standards such as DICOM, HL7v2, HL7v3, FHIR, XDS and other IHE profiles, SNOMED CT, ICD, Detailed Clinical Models, Zorg Informatie Bouwstenen
Knowledge of data science
Experience or affinity with health care

Conditions of employment

Fixed-term contract: 1 year.

The position is temporary for the duration of 12 months. Depending on experience and qualification, the gross monthly salary is scale 10 (max. € 4.402,-).

The terms of employment of Maastricht University are set out in the Collective Labour Agreement of Dutch Universities (CAO). Furthermore, local UM provisions also apply. For more information look at the website www.maastrichtuniversity.nl > Support > UM employees.

Employer

Maastricht University

Maastricht University is renowned for its unique, innovative, problem-based learning system, which is characterized by a small-scale and student-oriented approach. Research at UM is characterized by a multidisciplinary and thematic approach, and is concentrated in research institutes and schools. Maastricht University has around 20,000 students and 4,400 employees. Reflecting the university's strong international profile, a fair amount of both students and staff are from abroad. The university hosts 6 faculties: Faculty of Health, Medicine and Life Sciences, Faculty of Law, School of Business and Economics, Faculty of Science and Engineering, Faculty of Arts and Social Sciences, Faculty of Psychology and Neuroscience.

Department

GROW-School for Oncology and Developmental Biology

The School for Oncology & Developmental Biology (GROW) focuses on research and teaching of genetic and cellular mechanisms, as well as environmental and life-style factors that underlie normal (embryonic and fetal) and abnormal (cancer) development. The emphasis is on basic and translational research, aiming at innovative approaches for individualizing prevention, patient diagnosis, and treatment for genetically determined diseases and cancer.

https://www.maastrichtuniversity.nl/research/school-oncology-and-developmental-biology

Specifications

  • Postdoc; IT
  • Natural sciences; Health; Engineering
  • max. 38 hours per week
  • max. €4402 per month
  • Doctorate
  • AT2020.343

Employer

Maastricht University (UM)

Learn more about this employer

Location

Universiteitssingel 40, 6229 GR, Maastricht

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