Type de poste
Niveau d'étude minimal
Durée du poste
Contrat renouvelable
Contrat non renouvelable
Date de prise de fonction
Date de fin de validité de l'annonce
Nom de la structure d'accueil

68330 Huningue

Madah Mehdi
Email du/des contacts

The post is a PhD studentship to be appointed to the Firalis SA as part of the “HEalth data LInkage for ClinicAL benefit (HELICAL)“ H2020-MSCA-ITN-2018 Innovative Training Network.

PhD program Description:

The post is for one early stage researcher (ESR) who will undertake a three year PhD studentship as part of the H2020-MSCA-ITN-2018 HELICAL. The HELICAL training program focuses on three complementary areas: application of informatics to such datasets to gain new biological insights; translation of these into practical clinical outputs and management of ethical constraints imposed on such studies.

The appointee will be trained in advanced biostatistics, data mining, predictive modelling, machine learning and network analysis and to enhance their awareness of FAIR and GDPR data principles. The HELICAL ITN is highly integrated and so the appointee will also have the opportunity to acquire additional skills through regular meetings, workshops and seminars, and through secondments to other partners in the HELICAL network.

Essential job functions include:

The candidate will work with a small team designing, developing, and deploying state-of-the-art, data-driven predictive models to establish risk calculator and other biomarker based tools using the latest methodologies in machine learning, statistical modeling, pattern recognition, and artificial intelligence.
You will be involved in the data analysis of clinical studies from large international initiatives. The aim of these initiatives is to qualify candidate biomarkers or biomarker signatures for the translation, performance testing and eventual regulatory qualification of drug safety, efficacy and disease related applications. Additionally, you may be involved in the integrative analysis of post-genomic data from multiple sources (multi-omic/NGS data from preclinical and clinical studies).
You will also provide input for the study design and the testing the performance of the statistical models using standard procedures like ROC analysis.


The present post is to be based at Firalis, supervised jointly by Prof. Hûseyin Firat (Firalis) and a co-supervisor from University of Strasbourg. The project is entitled Diagnosis and outcome prediction using autoantibody and peptide profiling, and tissue morphometry machine learning.

Eligibility Criteria:

HELICAL is funded under the H2020-MSCA-ITN-2018 designed to promote movement of researchers in Europe and so is open to researchers from any country in the world provided they have not carried out their main activity (work, studies, etc.) in France for more than 12 months in the 3 years immediately before the recruitment date.

Equipe adhérente personne morale SFBI
Equipe Non adhérente