PhD Computational Biologist

This job offer has expired

    First Stage Researcher (R1)
    Recognised Researcher (R2)
    26/09/2019 00:00 - Europe/Brussels
    Germany › Berlin


TranSYS is a multi-partner European Training Network (ETN) under the European Union programme Horizon 2020. TranSYS aims at exploiting large and complex datasets, to advance Precision (Personalised) Medicine in several disease areas. Our project will advance the state of the art on biomarker discovery, improve understanding of disease-specific molecular mechanisms and target identification for optimal diagnostics, disease risk and treatment management, refine data generation and management, thereby leading to improved clinical study design, clinical sampling and more targeted therapeutics. TranSYS brings together international leaders in Preclinical Science & Molecular Medicine, Systems Analytics, and Targeted Therapeutics, from academia and industry. TranSYS will internationalise the participating ESRs (Early Stage Researchers), and advance emerging research areas, combining wet-lab, clinical and Big Data resources with computational and modelling knowhow.

Your responsibilities

  • Developing and demonstrating data mining and A.I. tools to better understand patient heterogeneity and assist patient stratification
  • Collecting links to online data repositories that offer access-free health-relateddata;
  • Structuring of databases for related samples;
  • Design and development of a data mining tool that access, collect and harmonise data via APIs (Application Programming Interfaces), making it easily usable for further downstream interpretation/analysis;
  • Implementation of an AI algorithm that classifies automatically a specific sample and/or detects a potential misclassification;
  • Undertaking proof of concept case studies comparing DECIPHER CNV data of patients suffering from developmental neurological malformations with ENCODE data, using metabolic liver pathologies;
  • To disseminate your results using the TranSYS network’s information channels.

More Information


  • Attractive three years full time PhD position starting latest March 1st, 2020;
  • Participation in an international innovative training network;
  • Flexible working hours;
  • An excellent working atmosphere in a dynamic and multicultural team with flat hierarchies.

Your supervisor would be Prof. Dr. V. Martins dos Santos, Wageningen University/CEO LifeGlimmer and the co-supervisors: Prof. Dr. D. Rozman, University of Ljubljana & Prof. Dr. P. van der Spek, Erasmus University Medical Center Rotterdam.

Selection process

Please send us your application including cover letter, CV and any supporting documents via the form below. Application deadline is September 25th, 2019.

Additional comments

In case of any question please do not hesitate to contact us: LifeGlimmer GmbH, Markelstr. 38, 12163 Berlin, Phone: +49 30 2062 2038, Email: info@lifeglimmer.com

For your application it is a prerequisite that you must not have resided, worked or studied in Germany for more than 12 months in the 3 years immediately prior to recruitment, not yet have been awarded a doctorate degree, and are within the first 4 years (fulltime equivalent) of your research career. Furthermore you should bring the willingness to spend parts of your training at other institutions in the TranSYS consortium on secondments.

Web site for additional job details

Offer Requirements

Specific Requirements

  • Master degree or equivalent in Computational Biology, Bioinformatics, Systems Biology, Bio(techno)logy or related field;
  • Solid knowledge of bioinformatics;
  • Basic knowledge of statistics;
  • Experience in discussing results of computational analyses in collaboration with wet-lab scientists;
  • Good programming skills in R or Python and preferably experience in at least one other programming language (Perl, Java, C++);
  • Knowledge of semantic web technologies (XML, RDF, SPARQL) would be an asset;
  • Basic knowledge of AI/Machine Learning algorithms;
  • Data base knowledge (SQL, RDF);
  • Familiarity with publicly available biological data resources and exploiting them (by using APIs)
  • Interest in blockchain technology;
  • A pragmatic and solution oriented working style;
  • Enthusiasm for communicating with various project partners;
  • Solid written and oral communication skills in English.

Work location(s)
1 position(s) available at
Markelstr. 38

Open, Transparent, Merit based Recruitment procedures of Researchers (OTM-R)

Know more about it at AcademicTransfer

Know more about OTM-R

EURAXESS offer ID: 431593
Posting organisation offer ID: 284826


The responsibility for the jobs published on this website, including the job description, lies entirely with the publishing institutions. The application is handled uniquely by the employer, who is also fully responsible for the recruitment and selection processes.


Please contact support@euraxess.org if you wish to download all jobs in XML.