Postdoc position at Institut Curie (Paris) in Systems Biology Group
Computational analysis and method development for single cell molecular data in cancer biology
Duration: 18-36 months with possibility of extension, starting immediately
Job description and skills:
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. Experience of working with large single cell datasets and/or developing original methods for analysis of this kind of data will be an advantage. 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. In order to answer these questions, the candidate will be involved in analysis of large scale single cell data and contributing to development the state-of-the-art computational methodology in this field.
The candidate must have a good knowledge in multidimensional data analysis in biology, and be proficient in high-level languages like R, Java, Python or MATLAB. Familiarity and experience with existing systems biology methods and software would represent a strong advantage.
Excellent communication skills and team spirit, and a capacity to work in autonomy are essential. Fluent English both spoken and written is required.
More information: http://sysbio.curie.fr/texts/CurieSysBio-PostDoc_DataAnalyst_SingleCell
