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Location
In office (Beijing)
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 19, 2026. First seen by Alion on Aug 17, 2026. DP Technology scores B on the Alion truth index.

Overview
Company
Impact
Profile match
DP Technology is a Beijing-based AI for Science company that builds scientific computing and AI research platforms, including the Bohrium research platform, Hermite drug design software and Piloteye tools, plus automated laboratory and research services. Founded in 2018, it has offices and R&D centres in Beijing, Shanghai, Shenzhen and Yibin, and its US subsidiary Atombeat in Boston offers AI-driven drug discovery services to biotech and pharmaceutical companies. Its openings, mostly in Beijing, include AI agent and platform developers, algorithm and data interns, laboratory scientists for chemistry and bioassays, hardware and embedded engineers and product managers.

岗位职责 / Responsibilities

1. 评估候选CRO提供的assay方法包质量--审核Z' factor、信噪比、对照组设计、批次间/批次内重复性等数据,判断方法是否达到可转移、可稳定运行的标准;

2. 主导与CRO的商务采购谈判--比价、议价、合同条款、交付节点、知识产权与保密条款的把关;

3. 负责方法转移(Method Transfer)执行--从CRO接收SOP、原始数据、参比标准品,组织内部验证批次,确认转移成功的判定标准与签核;

4. 把转移回来的assay在实验室自动化平台上完成构建与调试--试剂/耗材国产或替代适配、自动化工作站参数调试、质控标准(QC限、对照品、失败重跑规则)落地;

5. 负责日常assay运行阶段的质量把关--监控运行数据是否在控、异常结果的初步排查与升级、批次放行判断;

6. 维护CRO供应商关系与绩效台账--交付周期、数据质量、响应速度的持续评估,为后续续约/换供应商提供依据。

任职要求 / Requirements

1.硕士研究生学历(生物学、药理学、分子生物学、药学或相关专业);

2.有制药企业(药企/Biotech)或专业CRO的工作背景,非纯学术背景;

3.有生物检测assay(活性筛选、ADME、安全性/毒理相关任一方向)实际操作或管理经验;

4.熟悉assay验证核心质量指标--Z' factor、信噪比(S/N或S/B)、对照品设计、批次重复性(inter/intra-assay CV)等评价体系;

5.有CRO供应商对接、方法转移(Method Transfer/Tech Transfer)项目的实际参与或主导经验;

6.具备基本的商务谈判与合同条款审核能力,能独立完成采购比价与议价;

7.熟悉GLP或药企内部质量体系下的实验记录、偏差处理与批次放行流程;

8.能读懂并执行自动化实验平台(工作站、液体处理系统)相关的assay适配与参数调试工作,或有意愿快速上手;

9.英文读写能力良好,能独立阅读CRO提供的英文方法学文档、验证报告;

10.具备较强的问题排查与异常处理能力,能在自动化流程失控时做出专业判断。

加分项:

1.有ADC、双抗、小分子激酶抑制剂等特定治疗领域assay经验(本实验室锚定项目为ITK抑制剂方向);

2.有D2B(Direct-to-Biology,粗反应产物免纯化直接生测)或高通量筛选(HTS)相关经验;

3.有跨多家CRO同时管理、比较供应商质量的实战经验,而非只对接过单一供应商;

4.熟悉自动化实验室/Lab of the Future(LOTF)环境下的assay运行模式;

5.有帮助团队从0到1把新引入assay在自动化平台上跑通的经历,而非只在成熟产线上做质量监控;

6.有处理试剂/耗材国产替代、供应链适配经验(进口试剂断供或替代验证);

7.具备基础的统计学素养,能独立判断Z-score、异常值剔除等数据处理逻辑是否合理;

8.有在合资公司、初创实验室或组织快速搭建阶段工作的经验,适应制度和流程尚在完善中的环境。

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