BGI seeks a talented bioinformatics scientist. The successful candidate will contribute to all aspects of the computational biology technologies, including data mining, oligonucleotide probe design, algorithm development, and data analysis.  
Major Duties and Responsibilities: (1) Develop integrative mining methods for learning about complex patterns and features in high throughput genomic data; (2) Design and optimize fast bioinformatics algorithms approaches to deal with data from millions of samples; (3) Lead/Support research projects and advise bioinformatics analyses of other colleagues; (4) Participate in grant application and scientific paper writing; (5) Train junior investigators and young scientists to acquire bioinformatics knowledge and skills.

Requirements: (1) Ph.D. in computer science, mathematics, physics, bioinformatics or related fields；  (2) Excellent skills in applied mathematics, probabilistic and statistical inference, pattern recognition and deep learning; Good working knowledge of Bayesian statistics and machine learning methods, such as regression, classification, clustering, and neural networks;  (3) Strong skills in algorithm development and integrative mining of high throughput data, familiar with R/Matlab or other mathematical statistics software; (4) Proficient in C/C++, Perl/Python, Mstlab/R programing; (5) Excellent in reading and writing papers, strong research and publication experiences; (6) Critical problem solving and data analysis capabilities; (7) Excellent communication skills and enjoys working in a team environment; (8) Three years and above experiences of computational genome biology is preferred; (9) Chinese speaker is preferred.