Scientist/Senior Scientist for Biosystem Analysis (Quantitative Systems Biology/analysis

Responsibilities: 

  • 1、Utilize state-of-the-art data mining technologies to process, analyze and interpret multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics. 

  • 2、Design and develop sophisticated computational models to assist in analyzing complex biological datasets. 

  • 3、Apply statistical and machine learning methodologies to extract meaningful insights from complex biological datasets. 

  • 4、Employ cutting-edge network analysis approaches to identify key biological pathways, regulatory interactions, and functional modules within biological systems to uncover potential targets for pathway and metabolic engineering. 

  • 5、Integrate diverse biological data sets to gain a comprehensive understanding of cellular behavior and system-level responses for experimental design and guide decision-making processes. 

  • 6、Effectively communicate complex analysis results and scientific findings. 

  • 7、Collaborate with cross-functional teams to address complex biological questions and develop innovative solutions to biomanufacturing challenges. 

  • 8、Keep up-to-date with the advancements in the field and apply emerging technologies to advance projects. 

  • Participate with IP team to protect, enrich and increase value of the company's technology IP portfolio.  

 

Qualifications 

  • 1、Engineer or Ph.D. degree in Bioinformatics, Computational Biology, Computer Science, or related fields. Preferably with 3 years of experience working in metabolic engineering in industrial settings or a similar environment. MSc with significant relevant experience will be considered. 

  • 2、Excellent background in hands-on analyzing high-throughputbiomedical data: data cleaning, functional annotation, normalization, analysis, interpretation and visualization.  

  • 3、Experience in genomic data mining and identifying functions of potential genes via bioinformatics and/or artificial intelligence/machine learning approaches are essential. 

  • 4、Extensive development experience with R, JAVA, C, C++, or Python languages. 

  • 5、Strong statistics and mathematics background, experience with AI or machine learning is a plus. 

  • 6、Must be safety-oriented, self-motivated, and highly organized individuals.  

  • 7、Capable of adapting and working well in a collaborative, fast-paced work setting, contributing to a positive and inclusive team culture. 

  • 8、Demonstrates excellent verbal and written communication skills in Chinese, preferably in English as well. 

  • 9、Strong interpersonal skills, with the ability to effectively communicate and collaborate with colleagues.