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  PhD Candidate Molecular Epidemiology, Leiden

   Department of Biomedical Data Sciences

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  Dr IM Meulenbelt  No more applications being accepted  Funded PhD Project (Students Worldwide)

About the Project

The position

For this NWO funded, multidisciplinary, project SCI-MAP, we are looking for an enthusiastic PhD-candidate who will contribute to the overall goal of identifying key modifiable factors determining cell fate decisions of stem cells when they differentiate into chondrocytes and deposit cartilage matrix. If you think this could be something for you, please continue reading! You will work on a fully funded NWO OC ENW-GROOT project. The project aims to determine and understand key modifiable factors that direct and maintain iPS-cell differentiation into stable chondrogenic lineages. Hereto, you will be hosted by the OA research group at LUMC to generate and analyze single cell multi-omic datasets and apply molecular genetic techniques to stem cells.

Your profile

You hold a master’s degree in medical biology, biomedical sciences or biology with proven skills in data science and R programming, molecular and cell biological skills. You have a general affinity with complex biological problems. You are able to work independently and in a multidisciplinary team, and you possess excellent communication skills, including fluent written and spoken English. You are willing to travel on a regular basis to University of Twente, to acquire new techniques and are able to apply and extend them to your own research line.

What we offer

You will be employed on the basis of a 36-hour week. You will be given an employment contract for the production of a PhD thesis for the duration of the program with a maximum of four years. The salary amounts to € 2,495 gross per month in the first year, up to a maximum of € 3,196 in the last year with fulltime employment (scale Pro, CLA UMC).

Working at the LUMC

The LUMC, situated in Leiden, the Netherlands, is an academic medical centre for patient care, research and education, aiming to meet the challenges of tomorrow’s health care. It has a strong focus on research, connecting and combining fundamental research into disease-causing mechanisms with patient-focussed studies in areas like oncology, regenerative medicine and population health. The LUMC has research facilities that include capabilities for multiple appliances. The combination with clinical and societal outreach programmes allows for ground-breaking research and innovation in basic and applied science. Although the project is in close collaboration with TU-Twente, this part of the project will be hosted by the department Biomedical Data Sciences, section Molecular Epidemiology, of the Leiden University Medical Center. Research at the Molecular Epidemiology section in general is aimed at the identification of molecular profiles and biological pathways affecting complex human traits and diseases. The complex disease osteoarthritis is one of the three main lines of research within the section. The successful candidate will be embedded within the osteoarthritis research group, headed by professor dr. Ingrid Meulenbelt under the supervision of dr. Rodrigo Coutinho de Almeida. The osteoarthritis research line is multidisciplinary ranging from omic derived molecular profiling of cartilage and bone towards biomarkers and in vitro disease modeling (organ-on-chip, iPSCs and CRISPR-cas9). Currently, the osteoarthritis research group exist of six PhD candidates, three postdocs and a technician. The outstanding track record in the osteoarthritis field is reflected by large number of high impact scientific publications in collaboration with many osteoarthritis research groups in- and outside the Netherlands. The group has multiple ongoing research projects funded by NWO-VICI, ReumaNederland, or NIH to name a few.

More information

A detailed job description can be found at / vacancies. You may also contact prof. dr. Ingrid Meulenbelt, department of Biomedical Data Sciences, section Molecular Epidemiology, telephone: +31 (0)71 526 97 34, [Email Address Removed]

How to apply

Please apply via our online form at

Biological Sciences (4)

 About the Project