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JD.com · 北京市-北京市

# 医学认知大模型临床推理增强研究

北京市-北京市 Internship or early career 

Listed on JD.com’s official careers site. Posted July 20, 2026. Check that it is still open and apply there.
[Apply on JD.com’s careers site →](https://campus.jd.com/#/details?id=8831)

[OpenNash Jobs](https://jobs.opennash.com/) / [JD.com](https://jobs.opennash.com/companies/jd/) / 医学认知大模型临床推理增强研究

## Job description

工作职责
- 研发符合严苛临床规范的医学推理认知增强技术，攻坚底层算法，实现大模型输出结果的高可信与白盒化解释。
- 构建并持续优化“双医（医生+AI）协同”的人机交互新范式，大幅降低临床诊断路径中的漏诊与误诊风险。
- 深度调优大语言模型底座，突破长文本医学文献、复杂病历的深度理解与多源信息整合技术瓶颈。
- 协同医学专家团队开展大模型评测基准建设，推动医疗认知大模型在临床决策辅助中的合规化落地。 任职要求
- 计算机科学、人工智能、医疗信息学或数据科学等相关领域的本硕博在校生。
- 深入掌握大语言模型（LLM）的底层架构，具备RAG、CoT（思维链推理）及模型微调（SFT）的丰富实战经验。
- 具备强悍的算法工程落地能力，熟悉大规模数据处理及模型推理加速技术。
- 具备敏锐的跨界学习能力，能够快速理解复杂的医学业务逻辑与合规要求。
- 在相关领域高水平学术会议/顶级期刊有学术论文发表，或在知名算法竞赛中获得优异成绩者优先。

## At a glance
- Posted by the employer: Jul 20, 2026
- First seen by OpenNash: Oct 19, 2026
- Last checked: Oct 19, 2026
- Listed for: 91 days
- Location: 北京市-北京市
- Employment type: Internship or early career[Apply on JD.com’s careers site →](https://campus.jd.com/#/details?id=8831)

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