Postdoc position at Institut Curie (Paris) in Computational Systems Biology Group
Machine learning and statistical analysis of multi-level cancer omics data
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. 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; 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 R, Java, Python or Perl. 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_DataAnalyst2018.pdf
