Rinkevich 实验室-博士后（生物信息学/多组学方向）

首都医学科学创新中心（Chinese Institutes for Medical Research, Beijing, CIMR）再生生物学与医学研究所（CIMR-IRBM）Rinkevich 实验室现诚邀具有博士学位、致力于科学研究的优秀青年学者加入团队。

Yuval Rinkevich 教授是国际知名再生生物学家，现任首都医学科学创新中心特聘研究员、首都医科大学讲席教授，并于 2024 年出任 CIMR 再生生物学与医学研究所创始所长。

Rinkevich 教授长期深耕组织/器官修复与再生领域，拥有超过 20 年研究经验。此前曾在以色列理工学院（Technion-Israel Institute of Technology）、美国斯坦福大学（Stanford University）、德国亥姆霍兹慕尼黑中心（Helmholtz Munich）等国际知名高校及研究机构从事研究工作。

其研究聚焦组织修复、再生、疤痕形成及纤维化机制，曾发现协调组织修复和再生过程的关键细胞谱系与干细胞群体，揭示 Engrailed-1 阳性细胞在无疤痕修复向有疤痕组织反应转变过程中的重要作用，并阐明筋膜和细胞外基质在多个器官系统，特别是在组织疤痕和纤维化形成过程中的关键功能。这些发现重塑了领域内对组织修复与再生机制的理解，为临床干预和抗纤维化治疗提供了新的研究方向，并有望对皮肤病学、肝脏病学、肺病学等多个医学领域产生深远影响。

Rinkevich 教授相关研究成果发表于 Nature、Science 等国际顶级学术期刊，并曾荣获包括 ERC 在内的多项重要奖项，累计获得超过千万欧元科研基金支持。


二、招聘岗位

生物信息学/多组学方向博士后

主要职责

1. 独立开展或参与实验室相关课题研究；

2. 协助 PI 指导研究生和科研人员；

3. 协助 PI 推进合作项目及相关科研工作。

任职要求

1. 已取得或即将取得生物信息学、计算生物学、统计学、计算机科学、生物医学或相关领域博士学位；

2. 具有扎实的生物信息学研究经验，能够独立分析基因组、转录组、表观基因组等多组学数据；

3. 以第一作者身份在本领域主流学术期刊发表过研究论文；

4. 熟练掌握 R、Python、Perl 等至少两种编程语言；

5. 熟悉单细胞多组学和空间组学数据分析，包括 scRNA-seq、snATAC-seq、空间转录组等；

6. 具备良好的统计学和数学基础，能够正确选择并应用统计学方法；

7. 具有多组学整合分析经验者优先，包括 QTL 识别、贝叶斯共定位、孟德尔随机化、TWAS、fine mapping 等；

8. 具有良好的英语能力，能够进行流畅的英文口语交流，并使用英文撰写学术论文。

三、申请材料


请将以下申请材料合并为一个英文 PDF 文件，请注明：Postdoc Application

申请材料包括：

1. 个人简历：请注明电子邮箱、通讯地址和联系电话；

2. 研究兴趣和成果总结：请简要阐述个人研究兴趣和代表性科研成果；

3. 推荐人信息：请提供三名推荐人的详细信息，包括电子邮箱、通讯地址和联系电话。



Postdoctoral Recruitment | Rinkevich Laboratory Seeks Postdoctoral Fellow in Bioinformatics / Multi-omics

The Rinkevich Laboratory at the Institute for Regenerative Biology and Medicine, Chinese Institutes for Medical Research, Beijing (CIMR-IRBM), sincerely invites outstanding scholars with a doctoral degree and a strong commitment to scientific research to join the team.



Professor Yuval Rinkevich is an internationally recognized regenerative biologist. He is currently a Distinguished Investigator at the Chinese Institutes for Medical Research, Beijing (CIMR), and a Chair Professor at Capital Medical University. In 2024, he became the founding director of the CIMR Institute for Regenerative Biology and Medicine (CIMR-IRBM).



Professor Rinkevich has worked in the field of tissue and organ repair and regeneration for more than 20 years. He previously conducted research at internationally recognized universities and research institutions, including the Technion – Israel Institute of Technology, Stanford University, and Helmholtz Munich.



His research focuses on the mechanisms of tissue repair, regeneration, scar formation, and fibrosis. His work has identified key cell lineages and stem cell populations that coordinate tissue repair and regeneration, revealed the important role of Engrailed-1-positive cells in the transition from scarless repair to fibrotic tissue responses, and elucidated the role of fascia and extracellular matrix in multiple organ systems, particularly in tissue scarring and fibrosis. These findings have reshaped the understanding of mechanisms underlying tissue repair and regeneration, provided new directions for clinical intervention and anti-fibrotic therapies, and may have broad implications for medical fields including dermatology, hepatology, and pulmonology.



Professor Rinkevich’s research findings have been published in leading international journals including Nature and Science. He has received multiple major awards, including ERC funding, and has secured more than ten million euros in research funding.



Main Responsibilities

1. Independently conduct or participate in research projects in the laboratory;

2. Assist the PI in mentoring graduate students and research personnel;

3. Assist the PI in advancing collaborative research projects and related scientific work.



Qualifications

1. A doctoral degree, or expected completion of a doctoral degree, in bioinformatics, computational biology, statistics, computer science, biomedicine, or a related field;

2. Strong research experience in bioinformatics, with the ability to independently analyze multi-omics data, including genomics, transcriptomics, and epigenomics data;

3. First-author research publications in mainstream journals in the relevant field;

4. Proficiency in at least two programming languages, such as R, Python, and Perl;

5. Familiarity with single-cell multi-omics and spatial omics data analysis, including scRNA-seq, snATAC-seq, and spatial transcriptomics;

6. A solid foundation in statistics and mathematics, with the ability to appropriately select and apply statistical methods;

7. Experience in multi-omics integrative analysis is preferred, including QTL identification, Bayesian colocalization, Mendelian randomization, TWAS, and fine mapping;

8. Strong English proficiency, including fluent oral communication and the ability to write academic manuscripts in English.



Application Materials

Please combine the following application materials into a single PDF file written in English and send it to: ****************************



Please use the following email subject line:Postdoc Application



Application materials should include:

1. Curriculum vitae: please include your email address, mailing address, and phone number;

2. Summary of research interests and achievements: please briefly describe your research interests and major scientific achievements;

3. Referee information: please provide detailed information for three referees, including their email addresses, mailing addresses, and phone numbers.



Benefits

1. A competitive salary will be provided based on the applicant’s work experience and qualifications; details will be discussed during the interview;

2. Benefits include social insurance and housing fund contributions, paid annual leave, annual health check-ups, and supplementary medical insurance;

3. Support for career development will be provided, along with necessary professional training and research development resources.