锦鲤求职岗位描述
Position Overview
We are seeking a highly motivated Bioinformatics Scientist to support our gene editing and cell therapy programs through bioinformatics analysis, data management, and AI-enabled scientific applications.
The successful candidate will play a key role in biological data processing, sequencing data analysis, workflow automation, and AI-enabled scientific applications. This position requires a strong background in biology or bioinformatics, hands-on experience in biological data analysis, data management, and AI-enabled applications, and a keen interest in applying artificial intelligence technologies to accelerate research and development.
Key Responsibilities
1) Scientific Data Management:
a. Perform data cleaning, curation, standardization, and integration of biological and experimental datasets.
b. Establish and maintain structured datasets, databases, and data management processes.
c. Improve data quality, consistency, traceability, and accessibility across research programs.
d. Support the development of internal data repositories and knowledge management systems.
2) AI-Enabled Scientific Applications:
a. Explore and implement AI technologies to enhance data analysis, scientific knowledge management, and research workflow automation.
b. Participate in AI-related projects, including data preparation, data annotation, training dataset generation, and model evaluation.
c. Evaluate and apply AI tools to improve research productivity and decision-making.
d. Identify opportunities to leverage emerging AI technologies within gene editing and therapeutic development programs.
3) Bioinformatics Analysis:
a. Support bioinformatics analysis for gene editing and cell therapy projects.
b. Analyze sequencing data generated from various platforms, including short-read and long-read sequencing technologies.
c. Develop, maintain, and optimize bioinformatics pipelines and analytical workflows.
d. Support experimental design, data interpretation, and scientific decision-making through quantitative
analysis.
4) Cross-Functional Collaboration
a. Collaborate closely with scientists across molecular biology, gene editing, pharmacology, and translational research teams.
b. Present analytical findings and recommendations to multidisciplinary stakeholders.
c. Contribute to project planning, execution, and continuous improvement initiatives.
Qualifications & Requirements
1) Education: Master's degree in Bioinformatics, Computational Biology, Genetics, Molecular Biology, or a
related field.
2) Biological & Genomics Knowledge: Solid understanding of molecular biology, genetics, genomics, and biotechnology research. Familiarity with the principles and applications of modern sequencing technologies.
3) Data Science & AI Experience: Experience in data cleaning, data preprocessing, data standardization, and large-scale
dataset management. Familiarity with AI tools and their applications in scientific research and data analysis. Experience supporting AI projects through data preparation, annotation, training dataset generation, or model evaluation is highly desirable.
4) Bioinformatics & Programming Skills: Proficiency in Python and/or R for data analysis, visualization, and workflow development. Familiarity with Linux/Unix environments and command-line tools. Experience analyzing and interpreting genomics and/or multi-omics datasets is preferred.
5) Communication & Collaboration: Strong analytical thinking and problem-solving skills. Excellent communication and
collaboration abilities. Self-motivated, detail-oriented, and eager to learn new technologies. Good written and verbal English communication skills is preferred.
Preferred Qualifications
· Experience in biotechnology, pharmaceutical, genomics, or cell and gene therapy research.
· Experience analyzing sequencing-based datasets from research or industrial environments.
· Experience with workflow automation, reproducible research practices, or pipeline development.
· Experience applying AI tools to scientific research, data analysis, or workflow automation.