Postdoctoral Fellow - Human Genetics, Unit of Statistical Genetics

Postdoctoral Fellow - Human Genetics, Unit of Statistical Genetics

Institut Pasteur

Paris, France

In this project, the selected applicant and the hosting team will leverage genetic information to guide the selection of drug targets. We will build upon the state-of-the-art by addressing key areas lacking investigations through the following steps:

  • Gather a database of genetic effect across common diseases stratified by ancestries, age and sex;
  • Collect a matching database of clinical (side effects and indications) effects of approved drug target genes;
  • Predict drug target chances of approval by combining genetic evidence on efficacy, safety and stability across demographics.

The MooreForAll project involves collecting and curating a large volume of data. The development of the predictive algorithm will require a good understanding of machine learning evaluation and interpretation techniques. Through this project, the applicant will be able to develop their knowledge in genetics, gene regulation, and epigenetics. The project will involve communicating and learning from clinician researchers who are collaborators of the hosting teams.


The selected candidate should have a quantitative background with statistical and computational skills. they should be qualified with at least one programming language (e.g. Python, R). The candidate will typically hold a Ph.D in Statistics/Biostatistics, Epidemiology, Bioinformatics, Computer Science or other relevant disciplines with a quantitative research background. Practical experience working with genetic data sets, and developing statistical methods are desirable, but not required. We are a team committed to foster a fair, inclusive and diverse work environment. Diversity has been scientifically established as a key factor to improve scientific objectivity. Hence, all applicants will be evaluated solely based on qualification regardless of gender, gender identity, sexual orientation, race or disability.

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