(Senior/Principal) Investigator/Scientist, Data Science

Role Summary

We are seeking an experienced scientist to drive novel target discovery through the development and application of AI Agents, bioinformatics, and biomedical data science. This role will build reusable Agent Skills, biomedical knowledge databases, and scalable analytical workflows, and will directly use these capabilities to generate, assess, and prioritize differentiated therapeutic target hypotheses for innovative drug discovery programs.

Key Responsibilities

1. AI-Enabled Target Discovery

• Apply AI agents and computational approaches to identify, assess, and prioritize novel therapeutic targets.

• Build and execute AI-enabled pipelines that produce interpretable target recommendations with traceable evidence, uncertainties, assumptions, and risks.

2. AI Agent, Skill and Platform Development

• Develop an internal AI pipeline platform integrating agents, databases, analytical tools, and reusable workflows for scientific research and target discovery.

• Build AI agents and reusable Skills for question decomposition, evidence retrieval, database querying, tool execution, result validation, evidence synthesis, and report generation.

• Establish evaluation frameworks for scientific accuracy, traceability, reproducibility, robustness, and decision relevance, and continuously improve the platform through real-world projects.

3. Biomedical Data and Knowledge Management

• Contribute to the development and quality improvement of biomedical data and knowledge graphs supporting target discovery.

• Support data integration, entity normalization, ontology mapping, data provenance, quality control, and SQL-based querying and validation.

• Collaborate with data engineering and software teams to improve data accessibility, reliability, and scalability.

Qualifications

• Master’s degree or PhD in Bioinformatics, Computational Biology, Biomedical Informatics, or a related field, with at least three years of relevant experience.

• Experience in therapeutic target identification, assessment, validation, or prioritization, with knowledge of disease biology, translational evidence, and early-stage drug discovery.

• Proficiency in Python or R, with practical experience in SQL, relational data structures, and reproducible workflows.

• Hands-on experience with genetics, transcriptomics, single-cell, proteomics, functional genomics, or other biomedical datasets.

• Strong communication and collaboration skills across scientific, data engineering, and software teams.

Preferred Qualifications

• Experience with LLMs or AI agents, including RAG, tool calling, workflow orchestration, Agent Skills, or output evaluation.

• Experience developing biomedical databases, knowledge graphs, ontologies, or scientific data products.

百济神州全球胜任力

当我们通过以下十二项全球胜任力，展现出 "患者为先"、"无界协作"、"锐意创新 "和 "追求卓越 "的价值观时，我们就能帮助全世界更多患者获得更多负担得起的药品。

●团队协作

●提供并征求坦诚及可行的反馈

●自我认知

●兼容并蓄

●积极主动

●开拓精神

●持续学习

●拥抱变化

●结果导向

●分析性思维/数据分析

●卓越财务

●清晰沟通

BeOne Global Competencies

When we exhibit our values of Patients First, Collaborative Spirit, Bold Ingenuity and Driving Excellence, through our twelve global competencies below, we help get more affordable medicines to more patients around the world.

●Fosters Teamwork

●Provides and Solicits Honest and Actionable Feedback

●Self-Awareness

●Acts Inclusively

●Demonstrates Initiative

●Entrepreneurial Mindset

●Continuous Learning

●Embraces Change

●Results-Oriented

●Analytical Thinking/Data Analysis

●Financial Excellence

●Communicates with Clarity

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