Data Scientist in Biomaterial Engineering

Data Scientist in Biomaterial Engineering

Published Deadline Location
25 Apr 18 Jun Eindhoven

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Job description

Are you interested in data science and data management? And do you have a PhD in the area of data science, preferably with knowledge of biomaterials? Then you are the person we are looking for! We offer a challenging job within a dynamic and very ambitious program, where good data management is a priority of each of the partners. Next to data management, you will actively participate in data-driven science projects that investigates the correlation between biomaterial properties and cell and tissue response.

About MDR

The Research Center for Materials-Driven Regeneration (MDR) is a partnership between Eindhoven University of Technology, Maastricht University and Utrecht University, University Medical Center Utrecht and the Hubrecht Institute. This consortium was brought together to advance tissue and organ regeneration approaches with the use of instructive biomaterials. The MDR Research Center was awarded a 19 M€ grant in May 2017 by the ministry of education, culture and science of the Netherlands in the framework of the Gravitation program.

In this 10-year program the interdisciplinary team of researchers within the MDR consortium aims to focus on the research and development of new, intelligent materials that stimulate the regeneration of damaged or diseased tissues and organs. Three research flagships are defined according to hierarchical levels of increasing length scale and structural complexity.

In order to strengthen our research center, we are looking forward to meeting highly motivated and talented people that would like to contribute in the interesting yet complex multidisciplinary area of Materials-Driven Regeneration.

About the position

Data science plays a key role in successful scientific research and cooperation. One part of the position will focus on data management: for proper storage, sharing and reuse of research data, MDR will develop a facilitating framework dedicated to handling its intra- and inter-university data. While good data management is a priority at each of the participating institutes, the sharing of data between them will be a challenge: the interdisciplinary nature of the MDR research program entails diverging methods of quantification, storage, and handling of data. Next to the data management, the data scientist will actively participate in data-driven science projects that investigate the correlation between biomaterial properties and cell and tissue response.

Responsibilities of a data scientist in an academic research environment
  • Consider the various ways data sets are created, collected, analyzed, visualized and stored in the different disciplines.
  • Define a data architecture that brings out the best of the collective data sets (or investigate how we can) and is attractive for MDR scientists to use and improve, and that provides handles to answer faithfully and robustly some of the scientific questions of the consortium.
  • Showcase the added value and power (if any) of data science in this multidisciplinary arena to the scientific community by active participation in ongoing research projects of MDR members.
  • Consider/discuss/investigate/question the ethical aspects, the legal aspects, and the intellectual ownership of a complex data set owned by many scientists, across disciplines and universities.
  • Deal with the logistics (location, costs, access routes, etc) of the MDR data sets.
  • Enable and promote the archiving, storage and managing of research data according to academic FAIR (Findability, Accessibility, Interoperability, and Reusability) principles.
  • Couple data architecture and enabled FAIR principles to the broader university infrastructure applicable for the full BME department.


Eindhoven University of Technology (TU/e)


  • PhD with a research focus in data science, preferably with knowledge of biomaterials
  • Affinity with biomedical scientific research
  • Strong analytical skills
  • Broad interest in IT and ICT processes
  • Affinity with security, storage, and networks
  • Detail-oriented and able to assess complex research protocols and datasets
  • Good organization skills and a team player with a 'can do' attitude
  • Independent, self-directing and excellent communication skills
  • Good command of the English language

If you are concerned that you don't meet all the requirements sufficiently, but the job does excite you, then be sure to respond, we would love to look at your profile.

Conditions of employment

An exciting position within an international yet personal university. You are right in the middle of the students, on a green campus within walking distance of the central station. Besides beautiful architecture, you will find varied workplaces and excellent sports facilities. We also offer you:
  • A monthly salary of minimum € 3.247,- for full-time employment, depending on your knowledge and experience (scale 8-10 collective labour agreement for Dutch Universities).
  • In addition to vacation pay, a structural end-of-year bonus of 8.3%.
  • A favorable arrangement for more holidays or a sabbatical.
  • A selection model for additional fringe benefits.
  • Working hours in consultation for an optimal work-life balance.
  • Scope for your talent with advancement prospects and excellent development opportunities such as mentoring, workshops and coaching.
  • Partially paid parental leave and reimbursement for commuting expenses, working from home and the internet.
  • A generous employer contribution to the favorable ABP pension plan.

Here you can discover even more information about our conditions of employment. Build on your career at TU/e!


  • Research, development, innovation
  • Health
  • max. 38 hours per week
  • Doctorate
  • V50.6598


Eindhoven University of Technology (TU/e)

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De Rondom 70, 5612 AP, Eindhoven

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