杭州招聘

Syngenta Seeds Research is looking for a highly motivated computational scientist to help drive hypothesis-based trait lead discovery for important agronomic traits and breeding. In this role:

·       you will help analyze and extract meaningful information from complex biological data to identify target genomic elements and help design a modification strategy for trait improvement

·        you will work independently to manage, analyze, integrate, mine complex biological data, and help interpret results for biological hypothesis generation.

·       You will help deliver customized bioinformatics solutions and contribute to the development of innovative seeds products.

Accountabilities:

·       Analyze large scale omics datasets, interpret and communicate analysis results to stakeholders

·       Integrate diverse types of biological data to identify leads for trait improvement

·       Work closely with other computational scientists and trait scientists to help interpret data and generate hypotheses on how candidate gene function impacts traits of interest

·       Contribute to the design of strategies on validating the function of candidate genes

·       Provide consultations on experimental design, analytical methods, computational tools, and data interpretation

·       reaching beyond standard functional genomics approaches, explore new machine learning based approaches for lead identification

Critical knowledge, experience

·       Master’s degree with at least two years’ experience or Ph.D. in Bioinformatics, Computational Biology, Statistics, Computer Science or a related field with experience on biological problems; or Biology related fields with computational experience

·       Expertise in omics data analysis, data integration, and data mining, analyzing omics data (such as genome sequencing, transcript profiling, proteomics, or metabolomics data)

·       Knowledge of genomics (such as genome assembly, annotation, pan genome, comparative genomics, functional genomics, etc)

·       Experience in data integration, data mining, using and/or managing databases, machine learning, natural language processing is a plus

·       Experience in working with UNIX/LINUX environment

·       Proficiency in applying statistical methods (such as differential expression analysis, gene network analysis, gene set enrichment analysis, integrated omics analyses, etc.) for analyzing high dimensional biological data sets, such as RNAseq or metabolomics data

·       Proficiency in one or more statistical programming or scripting languages such as R, Python, or other relevant languages

·       Demonstrated ability to prioritize multiple tasks, Ability to learn and develop new technical skills, and expand knowledge

·       Excellent communication skills, fluency in both verbal and written English communication

Additional Information

·       This role will be in Syngenta Beijing Innovation Center, Beijing and some International travel required.

先正达（中国）投资有限公司诚聘