12 Mar 2024
Job Information
- Organisation/Company
INSERM DR Grand Ouest- Research Field
Biological sciences
Computer science- Researcher Profile
Recognised Researcher (R2)
Established Researcher (R3)- Country
France- Application Deadline
1 Jun 2024 - 23:59 (Europe/Paris)- Type of Contract
Temporary- Job Status
Full-time- Hours Per Week
38.5- Offer Starting Date
1 Jul 2024- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
The postdoc will be based in Nantes and will join a multidisciplinary consortium comprising two bench research teams (one specialized in EVs and miRNAs and another in modification of miRNAs), two core facilities (one dedicated to proteomic and another to DNA sequencing), three hospitals (each having a vast biobank of lung cancer clinical samples) and a computational group in machine learning for precision oncology. The postdoc will report directly to the leader of the consortium (Delphine Fradin) and to the leader of the latter group (Pedro Ballester). Relevant papers for this post are:
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MAIN ACTIVITIES
- Analysis and curation of clinical pharmaco-omic datasets from lung cancer patients
- Investigating the most predictive machine learning models to predict the response of patients to drug treatment from molecular profiles of their tumours.
ASSOCIATED ACTIVITIES
- Understanding and writing code.
- Presenting results periodically.
- Writing results for publication.
Requirements
- Research Field
- Computer science
- Education Level
- PhD or equivalent
Skills/Qualifications
- Skilled in the implementation of R or Python scripts for scientific data analysis.
- Ideally, well-versed in supervised learning from high-dimensional data.
- Ideally, prior use of computational tools and resources to analyse clinical pharmaco-omic data.
- Ideally, experience in writing research for publication in international journals.
- Ideally, master project and/or internship in the application of machine learning to solve real-world problems in the context of biomedical research.
- Ideally, knowledge about handling, integrating, processing and analysing molecular profiling data (e.g. RNA-seq).
Specific Requirements
Available to visit collaborator at Imperial College London for at most 2 weeks.
- Languages
- ENGLISH
- Level
- Good
Additional Information
Selection process
Applicants must send a CV and a cover letter to: Pedro Ballester ([email protected] ) and Delphine Fradin ([email protected] )
Contact for further information (name, telephone/mail): Pedro Ballester ([email protected] ) and Delphine Fradin ([email protected] )
Additional comments
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Inserm U1307 - CRCI2NA
- Country
- France
- City
- NANTES
- Postal Code
- 44000
- Street
- 8 quai Moncousu
- Geofield
Where to apply
[email protected]
Contact
- City
NANTES- Website
https://grand-ouest.inserm.fr/
https://crci2na.univ-nantes.fr/- Street
24 Boulevard Vincent Gâche- Postal Code
44200
STATUS: EXPIRED