Postdoc in Machine Learning for Precision Oncology

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:

Ogunleye A. et al. (2024) Health Data Science https://spj.science.org/doi/10.34133/hds.0108
Ballester P.J. (2023) Nature https://www.nature.com/articles/d41586-023-03948-w
Ogunleye A. et al. (2022) Advanced Science https://doi.org/10.1002/advs.202201501
Ballester P.J. et al. (2021) Briefings in Bioinformatics https://academic.oup.com/bib/article/23/1/bbab450/6398131
Nguyen L. et al. (2021) Biomedicines https://www.mdpi.com/2227-9059/9/10/1319
Ballester P.J. & Carmona J. (2021) npj Precision Oncology https://www.nature.com/articles/s41698-021-00216-w

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 (pedro.ballester@inserm.fr) and Delphine Fradin (delphine.fradin@inserm.fr)

Contact for further information (name, telephone/mail): Pedro Ballester (pedro.ballester@inserm.fr) and Delphine Fradin (delphine.fradin@inserm.fr)

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

E-mail: pedro.ballester@inserm.fr