About Us / 关于我们
We are a pioneering interdisciplinary team at the intersection of computational biology, AI, drug discovery. Our mission is to accelerate the transformation of biological insights tangible therapeutic breakthroughs by building scalable, intelligent platforms tools. As part of our expansion, we are seeking an experienced Bioinformatics Lead to build, mentor, drive a high-performing team that will shape the future of our data-driven life science initiatives.
我们是一支位于计算生物学、人工智能与药物发现交叉领域的开拓性跨学科团队。我们的使命是通过构建可扩展的智能平台与工具，加速将生物学洞见转化为切实的治疗突破。随着团队的发展，我们正在寻找一位经验丰富的生物信息学负责人，来组建、指导并驱动一支高绩效团队，共同塑造我们数据驱动的生命科学计划的未来。
Role Description / 职位描述
As the Bioinformatics Lead, you will be the technical strategic anchfour bioinformatics function. You will be responsible fleading a team of bioinformatics scientists engineers, setting the technical vision roadmap, ensuring the delivery of robust, innovative solutions that directly impact our drug discovery research pipelines. You will bridge deep biological expertise, computational excellence, leadership to translate complex scientific challenges scalable computational strategies.
作为生物信息学负责人，您将成为我们生物信息学功能的技术与战略核心。您将负责领导一支生物信息学科学家与工程师团队，制定技术愿景与路线图，并确保交付稳健、创新的解决方案，直接影响我们的药物发现与研究流程。您将整合深厚的生物学专业知识、卓越的计算能力与领导力，将复杂的科学挑战转化为可扩展的计算策略。
Key Responsibilities / 核心职责
1. Team Leadership & Development: Build, mentor, manage a high-performing bioinformatics team. Foster a culture of scientific rigor, innovation, collaboration, continuous learning. Define career growth paths conduct performance evaluations.
团队领导与建设： 组建、指导并管理一支高绩效的生物信息学团队。培育严谨科学、创新、协作与持续学习的文化。规划职业发展路径并进行绩效评估。
2. Technical Strategy & Roadmap: Define drive the technical vision, strategy, architecture fbioinformatics infrastructure, pipelines, analytical capabilities. Evaluate integrate emerging technologies (e.g., AI/ML, cloud-native solutions) to maintain competitive advantage.
技术战略与规划： 定义并驱动生物信息学基础设施、分析流程与能力的技术愿景、战略及架构。评估并整合新兴技术（如AI/ML、云原生解决方案），以保持竞争优势。
3. Project Leadership & Delivery: Lead multiple concurrent bioinformatics projects from inception to delivery. Ensure projects are completed on time, within scope, to the highest scientific engineering standards. Act as the primary point of contact fcross-functional stakeholders.
项目领导与交付： 领导多个并行的生物信息学项目，从概念到交付。确保项目按时、在既定范围内，并以*高的科学与工程标准完成。作为跨职能相关方的主要对接人。
4. Scientific Excellence & Innovation: Provide deep subject matter expertise in genomics, multi-omics, computational biology. Champion the development implementation of novel algorithms, analytical methods, best practices. Ensure scientific validity reproducibility of all analyses.
科学卓越与创新： 在基因组学、多组学与计算生物学领域提供深度的专业知识。倡导并推动新算法、分析方法及*佳实践的开发与实施。确保所有分析的科学有效性与可复现性。
5. Stakeholder Management & Collaboration: Partner closely with Biology, AI/ML, Data Engineering, Drug Discovery teams to align priorities, integrate workflows, translate data insights actionable biological hypotheses project decisions. Communicate complex results strategies effectively to both technical executive audiences.
相关方管理与协作： 与生物学、AI/ML、数据工程及药物发现团队紧密合作，对齐优先级、整合工作流程，并将数据洞察转化为可操作的生物学假设与项目决策。向技术团队及管理层有效地沟通复杂结果与战略。
Daily Work / 日常工作
· Team Coordination & Mentoring: Conduct one-on-ones, team meetings, code/analysis reviews. Guide team members on technical challenges career development.
团队协调与指导： 进行一对一沟通、团队会议以及代码/分析评审。指导团队成员解决技术挑战与职业发展问题。
· Architecture & Design Review: Oversee the design review of scalable bioinformatics pipelines, data models, cloud infrastructure. Make key technical decisions on tools, frameworks, system design.
架构与设计评审： 监督可扩展的生物信息学流程、数据模型及云基础设施的设计与评审。就工具、框架和系统设计做出关键技术决策。
· Cross-Functional Project Management: Coordinate with project managers scientific leads to define milestones, allocate resources, track progress, mitigate risks across multiple R&D projects.
跨职能项目管理： 与项目经理及科学负责人协调，确定里程碑、分配资源、跟踪进度并降低多个研发项目中的风险。
· Strategic Planning & Reporting: Contribute to departmental budgeting, resource planning, long-term strategy. Prepare present technical reports strategic updates to senileadership.
战略规划与汇报： 参与部门预算、资源规划及长期战略制定。准备并向高级管理层汇报技术报告与战略更新。
· External Engagement: Evaluate external tools, datasets, potential partnerships. Stay abreast of industry trends represent the team at scientific conferences collaborations.
外部参与： 评估外部工具、数据集及潜在合作伙伴。紧跟行业趋势，代表团队参与科学会议或合作。
Key Qualifications / 任职要求
· PhD in Bioinformatics, Computational Biology, Genomics, a closely related field.
生物信息学、计算生物学、基因组学或密切相关领域的博士学位。
· 7+ years of post-PhD experience in bioinformatics, with a proven track record in the biotech, pharmaceutical, CRO industry. At least 2-3 years of experience in a formal informal leadership role (e.g., team lead, project lead, technical lead).
获得博士学位后，拥有7年以上生物信息学经验，并在生物技术、制药或CRO行业有成功项目记录。至少2-3年正式或非正式的领导角色经验（如团队负责人、项目负责人、技术负责人）。
· Deep expertise in NGS data analysis, multi-omics integration, a strong publication record demonstrating scientific impact.
在NGS数据分析、多组学整合方面拥有深厚专长，并具有体现科学影响力的良好发表记录。
· Exceptional communication, stakeholder management, strategic thinking skills. Proven ability to influence collaborate at allganizational levels.
出色的沟通能力、相关方管理能力及战略思维能力。拥有在组织各个层面施加影响并进行协作的成功经验。
· Business fluency in Mandarin English is required.
必须具备流利的中英文商务沟通能力。
Technical Expertise / 技术专长
· Mastery of bioinformatics tools, databases, statistical methods fgenomics/proteomics.
精通用于基因组学/蛋白质组学的生物信息学工具、数据库及统计方法。
· Expert-level proficiency in Python and/R, with extensive experience in developing production-grade pipelines software.
专家级的Python和/或R编程能力，拥有开发生产级流程与软件的丰富经验。
· Strong experience with cloud computing (AWS/Azure/GCP), high-performance computing, containerization (Docker, Kubernetes), workflow management systems (Nextflow, Snakemake).
在云计算（AWS/Azure/GCP）、高性能计算、容器化（Docker, Kubernetes）及流程管理系统（Nextflow, Snakemake）方面拥有丰富经验。
· Deep understanding of machine learning applications in life sciences experience partnering with AI/ML teams to build deploy predictive models.
深刻理解机器学习在生命科学中的应用，并拥有与AI/ML团队合作构建和部署预测模型的丰富经验。
· Solid grasp of data governance, FAIR principles, software engineering best practices in a regulated research environment.
在受监管的研究环境中，牢固掌握数据治理、FAIR原则及软件工程*佳实践。
Preferred Qualifications / 优先考虑
· Experience directly contributing to drug discovery projects that have advanced to preclinical clinical stages.
拥有直接贡献于已推进至临床前或临床阶段药物发现项目的经验。
· Proven success in building scaling a bioinformatics team function from the ground up.
拥有从零开始成功组建并扩展生物信息学团队或职能的经验。
· Expertise in a specialized area such as single-cell analytics, antibody informatics, real-world evidence (RWE) integration, computational pathology.
在单细胞分析、抗体信息学、真实世界证据整合或计算病理学等专业领域拥有专长。
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