HCEMM Nonprofit Kft.

Data scientist

The Hungarian Centre of Excellence for Molecular Medicine – HCEMM –, one of Hungary’s National Laboratories, is a game-changer organization which catalyses reforming changes in the research culture and has an impact on the regional development of Hungarian knowledge regions.
HCEMM focuses on and supports molecular medicine-oriented research activities targeting key, highly prevalent ageing-related non-communicable diseases with an emphasis on Translational Medicine.


We are seeking a passionate and motivated person, who analyses and evaluates in vivo biomedical images in the HCEMM - In Vivo Imaging Advanced Core Facility, located in Semmelweis University.

Applicant will help to design the imaging studies with the imaging group of ACF, lead the imaging analysis of preclinical studies independently, contact with collaborating scientists and write scientific reports.



This position requires the knowledge of the whole pipeline of preclinical image analysis.
The ideal candidate is capable of handling DICOM images, performing image processing (registration, segmentation, etc.) and quantifying physiological features based on medical images.
Practical knowledge in using different kind of imaging modalities (SPECT, PET, CT, MRI) is advantageous.

Basic requirements:
- Degree in an imaging-related field, medical physics or computer science
- English spoken and written
- at least 3 years of experience in data analysis and preclinical medical imaging
- knowledge and experience in common imaging data analysing software and tools


  • Healthcare, Pharmaceutical Industry
  • Clinical Researcher

Experience required:

  • 3-5 years professional experience

Required Qualification:

  • University degree

Required language level:

  • English (higher advanced/fit for negotiation)

Employment type:

  • Full time

Job location:

1094 Budapest, Tűzoltó utca 37.

How to apply/ contact information:

Applicant should submit a cover letter, a CV, a detailed presentation of the professional experience as a single PDF  in English before the deadline of 15 May 2021