Postdoc in Machine Learning for Precision Oncology

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: 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 ([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

E-mail

[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