Postdoctoral Position in Systems Biology of Cancer Group Machine learning for multi-modal cancer data analysis (M/F)
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
[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
[email protected]
STATUS: EXPIRED
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