法国国家科学研究中心 (CNRS) 2022年招聘博士后研究（计算生物学）

法国国家科学研究中心 (CNRS) 2022年招聘博士后研究（计算生物学）

法国国家科学研究中心（法文：Centre national de la recherche scientifique），简称“CNRS”，成立于1939年10月19日，隶属于法国高等教育和研究部，是法国最大的政府研究机构，也是欧洲最大的基础科学研究机构，同时也是世界顶尖的科学研究机构之一。它的使命是探索生命世界、物质、宇宙和人类社会的运作。CNRS因其在科学领域的卓越贡献而在国际上享有盛誉，被认为是世界科学技术发展的“风向标”。在2020自然指数排名中，CNRS名列世界第4。

Postdoctoral Researcher In Computational Biology H/F

Universities And Institutes Of France

Description

Organisation/Company: CNRS

Research Field: Biological sciences

Researcher Profile: Recognised Researcher (R2)

Application Deadline: 10/11/2022 23:59 - Europe/Brussels

Location: France › BORDEAUX

Type Of Contract: Temporary

Job Status: Full-time

Hours Per Week: 35

Offer Starting Date: 01/01/2023

Eu Research Framework Programme: H2020

The postdoctoral researcher will specifically contribute to the advancement of cancer data analysis portals - goal of the WP3 in the project. The work will be based on existing computational methods served in the form of software containers interoperable in Virtual Research Environments (VRE) and workflow managers (i.e., Galaxy : https: // usegalaxy.eu). The use of community adopted platforms, cBioPortal (https: // www. cbioportal.org) and the Clinical Decision Support Systems (e.g. MTBP, https: // mtbp.org/ExamplePublic.php or PCGR https: // github.com/sigven/pcgr), will make the operations of the underlying software layer transparent to the users.

The postdoctoral fellow in computational biology will be responsible for developing software and open science for cancer.

EOSC4Cancer research and innovation action aims to connect a set of interoperable nodes, e.g. European Cancer Centres, Research Infrastructures, Medical Centres, that provide access to FAIRified cancer-related data within (a) trusted users environment(s). The selection of data and their connectivity will be driven by key use-cases that demonstrate the value at all stages along the cancer patient journey, and served in the visualization and analysis environments they are familiar with. This project aims to make cancer genomics, imaging, medical, clinical, environmental and socio-economics data accessible, using and enhancing existing federated and interoperable systems for securely identifying, sharing, processing and reusing FAIR cancer data across borders, and it will offer them via community-driven analysis environments. EOSC4Cancer provision of well curated datasets will be essential for advanced analytics and computational methods to be reproducible and robust, including machine learning and artificial intelligence approaches. EOSC4Cancer use-cases will cover the patient journey from cancer prevention through to diagnosis and treatment, laying the foundation of data trajectories and workflows for future cancer mission projects.

The postdoctoral researcher will work in the “Computational Biology and Bioinformatics” team (IBGC, CNRS, Bordeaux - France) under the supervision of Macha Nikolski (WP3 co-lead). Strong collaboration with other teams within the project is expected, in particular with the team of Pr. EivindHovig, University of Oslo (co-lead of WP3).

Eligibility criteria

We are looking for a highly motivated individual who has a passion for driving science through technology, has a strong taste for teamwork, and excellent communication skills that will thrive in our team to deliver best results. A successful candidate will have the following skills or experience: - Ph.D. degree in Bioinformatics, Computer Science, Biostatistics, Applied Mathematics or related discipline. - Hands-on experience in processing and analyzing Next Generation Sequencing data (DNA-Seq& RNA-Seq) for health-related applications. - Understanding of main cancer data analysis (e.g. variant calling and annotation, biomarker identification) - Proficiency in Python and R. - Prior experience in software development. - Knowledge of pipeline managers/workflow systems (e.g. Galaxy, Snakemake) - Docker and/or Singularity experience - Experience in machine learning would be a plus.

- Candidates must have a very positive attitude to working in a collaborative trans-border project. - Finally, fluency in spoken and written English is a requirement.(C2 to C1 of the European Framework of Reference for Languages)

Web site for additional job details

https: // emploi.cnrs.fr/Offres/CDD/UMR5095-KILAUD-002/Default.aspx

Required Research Experiences

RESEARCH FIELD

Biological sciences

YEARS OF RESEARCH EXPERIENCE

1 - 4

Offer Requirements

REQUIRED EDUCATION LEVEL

Biological sciences: PhD or equivalent

REQUIRED LANGUAGES

FRENCH: Basic

Contact Information

Organisation/Company: CNRS

Department: Institut de Biochimie et GénétiqueCellulaires

Organisation Type: Public Research Institution

Website: https:// www. ibgc.cnrs.fr

Country: France

City: BORDEAUX