Postdoctoral Position in Systems Biology of Cancer Group Machine learning for multi-modal cancer data analysis (M/F)

Updated: 20 days ago
Location: Paris 15, LE DE FRANCE
Job Type: FullTime
Deadline: 30 Jun 2024

10 Apr 2024
Job Information
Organisation/Company

Institut Curie - Research Center
Research Field

Medical sciences » Cancer research
Researcher Profile

Recognised Researcher (R2)
Country

France
Application Deadline

30 Jun 2024 - 12:00 (Europe/Paris)
Type of Contract

Temporary
Job Status

Full-time
Hours Per Week

39
Offer Starting Date

2 May 2024
Is the job funded through the EU Research Framework Programme?

FP7 / People-Marie Curie Actions
Is the Job related to staff position within a Research Infrastructure?

Yes

Offer Description

Institut Curie Research Center

Institut Curie is one of the largest European institutions for cancer research with strong and old

interdisciplinary traditions. It also includes a hospital specialized in cancer treatment, and therefore covers a

continuum of expertise from fundamental research to patient care. It is located in the centre of Paris in a both

cultural and scientific rich environment. The institute hosts a large collection of tumor samples and

structured medical data.

 


Context


 

Laboratory

Our research aims at deciphering the molecular determinants of cancer and make this knowledge available to improve patient management. It is based on high-dimensional and multi-level omics tumor profiles, and proceed by sophisticated machine learning approaches as well as biological network modelling. At Institut Curie our situation is ideal to pursue these goals, since the choice of collaborations with biologists and clinicians, and the many technological core facilities of the institute offer many options to set up original and cutting-edge projects. We are also involved in many national and international (mainly European) projects with other laboratories in Spain, Germany, Italy, Norway, Netherlands, USA or Japan.

https://institut-curie.org/team/barillot

 

The project

We are conducting a large-scale study of a lung cancer patient cohort and integrating multimodal data

including multiomics (including spatial omics), pathomics, radiomics and other clinical data. Data for ~400

patients have already been collected. The main objective is twofold: build efficient predictors of treatment

response and shed light on the mechanisms of tumor progression. The study involves four groups at Institut

Curie : Emmanuel Barillot lab (omics), Irène Buvat lab (radiomics), ThomasWalter lab (pathomics) and

Nicolas Girard lab (lung oncologist). The first three group leaders also hold chairs (or will soon for IB) at Paris

of Artificial Intelligence Research Institute (https://prairie-institute.fr/ ).

 


Requirements
Research Field
Biological sciences » Biology
Education Level
PhD or equivalent

Skills/Qualifications

We expect a candidate with a strong background in statistics, machine learning, computational systems, biology or physics. The successful candidate should have experience in high-throughput data analysis in biology. Ideally, the candidate should be able to demonstrate some knowledge of basic biological mechanisms involved in cancer and have experience of collaboration with biologists for solving concrete biological problems.

He/she will have to: understand the biological and clinical questions related to cell fate decision, tumor heterogeneity, interaction with microenvironment, drug response; define the most appropriate statistical and/or machine learning approaches and develop them; carry out the analyses and discuss the results with biologists or clinicians.

 

The candidate must have a good knowledge in multidimensional data analysis in biology, and be proficient in high-level languages like Python or R. Familiarity and experience with existing systems biology methods and software would represent a strong advantage.

 

Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both spoken and written is required.

 

Degree: PhD level in computer science, machine learning, bioinformatics or systems biology

 

All our opportunities are open to people with disabilities


Languages
FRENCH
Level
Excellent

Languages
ENGLISH
Level
Excellent

Research Field
Medical sciences » Cancer research
Years of Research Experience
1 - 4

Additional Information
Benefits

Type of contract: Fixed-term contract.

Starting date:  Immediately

Duration: 18 renewables

Working time: full time- number of days

Remuneration: according to the current grids

Benefits: Collective catering, reimbursement of transportation fees up to 70%, supplementary health insurance

Location of the position: Paris

  • Short periods of travel: International conferences

Eligibility criteria

We expect a candidate with a strong background in statistics, machine learning, computational systems, biology or physics. The successful candidate should have experience in high-throughput data analysis in biology. Ideally, the candidate should be able to demonstrate some knowledge of basic biological mechanisms involved in cancer and have experience of collaboration with biologists for solving concrete biological problems.

He/she will have to: understand the biological and clinical questions related to cell fate decision, tumor heterogeneity, interaction with microenvironment, drug response; define the most appropriate statistical and/or machine learning approaches and develop them; carry out the analyses and discuss the results with biologists or clinicians.

 

The candidate must have a good knowledge in multidimensional data analysis in biology, and be proficient in high-level languages like Python or R. Familiarity and experience with existing systems biology methods and software would represent a strong advantage.

 

Excellent communication skills and team spirit, and an ability to work in autonomy are essential. Fluent English both spoken and written is required.

 

Degree: PhD level in computer science, machine learning, bioinformatics or systems biology

 

All our opportunities are open to people with disabilities


Selection process

Send CV, motivation letter, and contacts details of 2-3 references and indicate as subject the reference “SB24DA application” to [email protected]


Work Location(s)
Number of offers available
1
Company/Institute
Institut Curie
Country
France
Geofield


Where to apply
E-mail

[email protected]

Contact
State/Province

Paris
City

Paris, Île-de-France, France
Website

http://curie.fr/?prehome=0
Street

26 rue d'Ulm
Postal Code

75005
E-Mail

[email protected]

STATUS: EXPIRED

Similar Positions