——大健康信息挖掘研究员（寿命与衰老方向）——

工作地点： 东莞长安
年薪范围： 80万– 100万
用人偏好： 男性优先 海归 （常青藤）
经验要求： 有相关研究或项目经验优先
简历要求：请发送中文简历

——岗位方向 ：
基于生理信号、行为习惯及认知等无创数据，结合医学信息学与公共卫生信息学方法，开展以下研究方向：
• 寿命预测模型（Longevity Modeling）
• 无创衰老评估（Non-invasive Aging Assessment）
• 长寿机制与健康干预数据建模

——岗位职责
1. 研究与方向探索
o 基于医学、生理学、生物信息学等背景，开展前沿健康方向的调研与挖掘
o 构建寿命与衰老相关的数据分析与研究框架
2. 技术方案与体系搭建
o 独立完成智能健康信息学相关技术调研、方案设计
o 搭建评估体系（指标体系、验证方法、数据标准）
3. 行业与学术研究
o 跟踪行业前沿技术与学术进展（Review）
o 参与技术交流，对外部技术方案进行系统性评估与验证
4. 算法研发
o 独立完成算法设计、开发、评估与调优
o 构建健康数据建模及预测模型
5. AI应用落地
o 运用机器学习、深度学习等方法解决健康领域创新问题
o 推动AI在健康评估、风险预测、衰老分析中的实际应用

——岗位要求
1. 教育背景
o 硕士及以上学历
o 相关专业： 生物信息学 / 医学信息学 / 生物医学工程 / 智能医学工程 / 公共卫生等
2. 研究与技术能力
o 具备以下方向之一或多个经验：
 医学健康大数据分析
 健康统计建模
 医疗数据建模与分析
 医学信息提取（NLP/结构化处理）
3. 编程能力
o 熟练掌握至少两种语言：  Python  MATLAB  C / C++
4. 加分项
o 有医疗卫生研究院/科研机构工作经验
o 在以下方向有研究成果者优先：  再生医学  机能退化评估  认知退化评估（如阿尔茨海默等方向）
（Longevity / Aging / Bioinformatics / Medical AI / Health Data Mining / Predictive Modeling / Deep Learning / Public Health Informatics）

Job Posting: Senior Research Scientist – Longevity & Aging (Health Informatics)
Location: Chang'an, Dongguan (Greater Bay Area)
Gender: Male candidates are preferred" (preferably Ivy League or overseas experience)
Salary Range: RMB 700– 1,000K（/annum）
Employment Type: Full-time / Research

Company Overview:
We are at the forefront of the Greater Bay Area's booming health technology sector, dedicated to pioneering research in longevity science and intelligent healthcare. We are seeking a visionary Senior Research to lead our cutting-edge initiatives in aging and lifespan modeling.

Research Focus:
 Longevity Modeling: Developing predictive frameworks for lifespan estimation.
 Non-invasive Aging Assessment: Creating evaluation systems to quantify biological aging without invasive procedures.
 Data Modeling for Longevity Mechanisms & Health Interventions: Analyzing the mechanisms of aging and modeling the impact of health interventions.

Job Responsibilities
1. Research & Strategic Exploration
 Leverage expertise in medicine, physiology, and bioinformatics to conduct in-depth research and exploration of frontier health initiatives.
 Architect comprehensive data analysis and research frameworks specifically focused on longevity and aging.
2. Technical Architecture & System Development
 Independently lead technical research and solution design related to Intelligent Health Informatics.
 Establish robust evaluation systems, including the development of metric frameworks, validation methodologies, and data standards.
3. Industry & Academic Engagement
 Monitor and analyze cutting-edge industry technologies and academic progress through systematic literature reviews.
 Participate in technical exchanges and conduct rigorous assessments and validations of external technical solutions.
4. Algorithm R&D
 Independently manage the full lifecycle of algorithms, including design, development, evaluation, and fine-tuning.
 Build sophisticated health data models and predictive analytics models.
5. AI Application & Implementation
• Utilize Machine Learning (ML) and Deep Learning (DL) to solve innovative challenges within the healthcare domain.
• Drive the practical application of AI in health assessments, risk prediction, and aging analysis.



Qualifications & Requirements:
1. Education & Background
• Degree: Master’s degree or higher.
• Major: Bioinformatics, Medical Informatics, Biomedical Engineering, Intelligent Medical Engineering, Public Health, or closely related fields.
2. Research & Technical Expertise
• Proven experience in one or more of the following areas:
o Big Data Analytics: Extensive experience in medical and health-related big data analysis.
o Statistical Modeling: Strong background in health statistics and quantitative modeling.
o Data Modeling: Expertise in medical data modeling and in-depth analytical methodologies.
o Information Extraction: Proficiency in Medical NLP (Natural Language Processing) and the structured processing of clinical data.
3. Programming Skills
• Proficiency in at least two of the following programming languages:
• Python
• MATLAB
• C / C++
4. Preferred Qualifications(
• Prior working experience in medical/health research institutes or scientific research organizations.
• A proven track record of research publications or projects in the following areas is highly desirable:
o Regenerative Medicine
o Functional Deterioration Assessment
o Cognitive Decline Assessment (e.g., Alzheimer's disease and related fields)
How to Apply:
Please send your CV (Chinese version preferred)