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Retained official job evidence · Hon Hai Precision 

# (02)【2026新幹班】數位健康類 Digital Health

台灣
Not specified
Not specifiedEmployer pay evidence: 面議

This evidence page preserves the observable public role details used by OpenNash Hiring Intelligence. Confirm availability and apply through the employer’s official page.
[View and apply on the official careers site →](https://recruit.foxconn.com/isite-web-tw/main/jobsearch/detail?id=08de75da52a849509c2c891ad02133cc)

## Description

Responsibilities 參與智慧醫療產品與穿戴式生理量測設備的需求分析、功能設計與產品原型測試。協助開發生醫雲端平台之應用層功能，並支援生理訊號處理演算法的初步驗證。配合推動 AI 護理協作方案於醫療場域的測試佈署，支援遠距照護平台的數據串接與日常維護作業。 Participate in requirement analysis and prototype testing for medical wearables; Assist in developing biomedical cloud platform functions. Support AI nursing solution deployments and data maintenance. Requirements 具生醫工程或數據科學背景；學習醫療器材法規 (FDA/TFDA) 及數據標準 (HL7/FHIR)；對生理訊號處理有基礎認知。 Bio-medical or Data Science background; willingness to learn FDA/TFDA regulations and HL7/FHIR standards. 需求系所 (Preferred Majors): 生醫工程、資工、數科、護理、公衛 (Biomedical, CS, Data Science, Nursing, Public Health)

## Responsibilities

參與智慧醫療產品與穿戴式生理量測設備的需求分析、功能設計與產品原型測試。協助開發生醫雲端平台之應用層功能，並支援生理訊號處理演算法的初步驗證。配合推動 AI 護理協作方案於醫療場域的測試佈署，支援遠距照護平台的數據串接與日常維護作業。 Participate in requirement analysis and prototype testing for medical wearables; Assist in developing biomedical cloud platform functions. Support AI nursing solution deployments and data maintenance.

## Qualifications

具生醫工程或數據科學背景；學習醫療器材法規 (FDA/TFDA) 及數據標準 (HL7/FHIR)；對生理訊號處理有基礎認知。 Bio-medical or Data Science background; willingness to learn FDA/TFDA regulations and HL7/FHIR standards. 需求系所 (Preferred Majors): 生醫工程、資工、數科、護理、公衛 (Biomedical, CS, Data Science, Nursing, Public Health)

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