安克创新医学经理-大健康Q4专项
社招全职地点:深圳状态:招聘♡ 收藏
工作描述
任职要求 1. 硕士及以上学历,往届校招;临床医学、生物医学工程、生理学、公共卫生、预防医学、人工智能、计算机科学、认知科学、信号处理、信息工程、统计学、数据科学等相关专业。 2. 具备扎实的医学基础,能够理解临床指南、疾病管理路径及行为干预理论;持有《医师资格证书》或具备临床经验者优先考虑。 3. 具备扎实的数据分析基础:掌握描述统计、假设检验、回归分析、时序分析等常用方法;能使用Python/R/SQL进行数据处理与分析,熟悉pandas、numpy、scipy、scikit-learn、matplotlib/seaborn等工具者优先。 4. 对长程穿戴生理信号(ECG、PPG、生物电信号、呼吸、活动、皮电等)有基本认知,了解信号质量、伪影与临床意义者优先;对LLM Agent架构有基本认知,了解ReAct、LangChain、LlamaIndex、AutoGen、RAG、工具调用、向量数据库等技术者优先。 5. 具备良好的文献调研、数据可视化与跨学科沟通能力,能在医学语言、数据语言、算法语言与工程语言之间高效协作。 6. 对生理信号基础模型、自监督学习、时序建模,以及医学AI运用、智能体工作流定义、医学测试基准设计有浓厚兴趣,有相关课程、科研、项目、数据竞赛或实习经历者优先。…
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包括英文材料
学历+
数据科学+
https://roadmap.sh/ai-data-scientist
Step by step roadmap guide to becoming an AI and Data Scientist
数据分析+
[英文] Data Analyst Roadmap
https://roadmap.sh/data-analyst
Step by step guide to becoming an Data Analyst in 2025
Python+
https://liaoxuefeng.com/books/python/introduction/index.html
中文,免费,零起点,完整示例,基于最新的Python 3版本。
https://www.learnpython.org/
a free interactive Python tutorial for people who want to learn Python, fast.
https://www.youtube.com/watch?v=K5KVEU3aaeQ
Master Python from scratch 🚀 No fluff—just clear, practical coding skills to kickstart your journey!
https://www.youtube.com/watch?v=rfscVS0vtbw
This course will give you a full introduction into all of the core concepts in python.
R+
[英文] R Tutorial
https://www.w3schools.com/r/
R is often used for statistical computing and graphical presentation to analyze and visualize data.
SQL+
https://liaoxuefeng.com/books/sql/introduction/index.html
什么是SQL?简单地说,SQL就是访问和处理关系数据库的计算机标准语言。
https://sqlbolt.com/
Learn SQL with simple, interactive exercises.
https://www.youtube.com/watch?v=p3qvj9hO_Bo
In this video we will cover everything you need to know about SQL in only 60 minutes.
Pandas+
[英文] 10 minutes to pandas
https://pandas.pydata.org/docs/user_guide/10min.html
This is a short introduction to pandas, geared mainly for new users.
[英文] Cookbook - pandas
https://pandas.pydata.org/docs/user_guide/cookbook.html#cookbook
This is a repository for short and sweet examples and links for useful pandas recipes.
https://www.kaggle.com/learn/pandas
Solve short hands-on challenges to perfect your data manipulation skills.
https://www.youtube.com/watch?v=2uvysYbKdjM
I'm super excited for this one. We're doing another complete Python Pandas tutorial walkthrough.
https://www.youtube.com/watch?v=Mdq1WWSdUtw
Filtering, Joins, Indexing, Data Cleaning, Visualizations
NumPy+
https://numpy.org/doc/stable/user/absolute_beginners.html
NumPy (Numerical Python) is an open source Python library that’s widely used in science and engineering.
[英文] NumPy - Learn
https://numpy.org/learn/
Below is a curated collection of educational resources, both for self-learning and teaching others, developed by NumPy contributors and vetted by the community.
https://www.kaggle.com/code/themlphdstudent/learn-numpy-numpy-50-exercises-and-solution
This kernel uses exercises of NumPy from the Machine Learning Plus webpage
https://www.youtube.com/watch?v=KHoEbRH46Zk
If you've heard of Pandas and NumPy, you may think one is simply a superset of the other.
https://www.youtube.com/watch?v=QUT1VHiLmmI
Learn the basics of the NumPy library in this tutorial for beginners.
https://www.youtube.com/watch?v=VXU4LSAQDSc
This video serves as an introduction to the NumPy Python library.
Scikit-learn+
https://www.ibm.com/think/topics/scikit-learn
Scikit-learn, or sklearn, is an open source project and one of the most used machine learning (ML) libraries today.
https://www.youtube.com/watch?v=SIEaLBXr0rk
Today we to a crash course on Scikit-Learn, the go-to library in Python when it comes to traditional machine learning algorithms (i.e., not deep learning).
Matplotlib+
https://matplotlib.org/stable/tutorials/index.html
This page contains a few tutorials for using Matplotlib.
https://www.youtube.com/watch?v=c9vhHUGdav0
This video serves as an introduction to the Matplotlib Python library.
https://www.youtube.com/watch?v=OZOOLe2imFo
In this video we do a complete Matplotlib crash course in Python.
Seaborn+
https://realpython.com/python-seaborn/
If you want to take your statistical visualizations to the next level, you should master the Python seaborn library to produce impressive statistical analysis plots that will display your data.
https://seaborn.pydata.org/tutorial/introduction.html
Seaborn is a library for making statistical graphics in Python.
https://www.youtube.com/watch?v=6GUZXDef2U0
This video provides complete coverage of Seaborn with many real world examples.
大模型+
https://www.youtube.com/watch?v=xZDB1naRUlk
You will build projects with LLMs that will enable you to create dynamic interfaces, interact with vast amounts of text data, and even empower LLMs with the capability to browse the internet for research papers.
https://www.youtube.com/watch?v=zjkBMFhNj_g
还有更多 •••
相关职位
社招MEG
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更新于 2026-03-31北京

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任职要求: 1. 医学、临床医学、生物医学、病理学等相关背景,本科及以上学历 2. 1 年及以上医学事务、医学经理或相关工作经验(医疗器械 / 医疗 AI 优先) 3. 熟悉临床研究、医学写作及医学合
更新于 2025-12-24
校招
1.教育背景: 硕士及以上学历,临床医学相关专业,博士学历优先,有医院睡眠医学/呼吸内科/耳鼻喉科/心内经验者优先。 2.工作经验:具有临床实习经验及1年以上的医疗器械企业实习经验。 3.专业技能与经
更新于 2026-07-01深圳