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


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.

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


1.Ph.D. degree in Bioinformatics, Computational Biology, Computer Science, or related fields with a minimum of 3 years of experience working in biotech or related industries. MSc with significant relevant experience will be considered.

2. Excellent background in hands-on analyzing high-throughput biological 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 and English.

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