首都医学科学创新中心刘岚实验室2025年招聘生物统计师

发布来源：科学人才网发布日期：2025-07-23

一、中心简介

首都医学科学创新中心（简称创新中心）是北京市新成立的具有独立法人资格的新型研发机构。创新中心以推动医学科学发展、改善人类健康为目标，开展生物医学研究，致力于提升医学科学创新与成果转化能力，提高疾病诊断和治疗水平。我们将汇聚世界高水平科学家，与首都医学教育和科学研究优质资源紧密合作，打造多学科交叉融合的科研平台，综合自由探索、医学目标导向、有组织科研等途径，实践新型科研模式和体制机制，逐步推进医教研产的深度融合，培养适应医学科学创新发展的优秀人才。

二、实验室介绍

刘岚，首都医科大学教授，临床研究中心主任。首都医学科学创新中心高级研究员。获得海外高层次人才称号。本科于中国科学技术大学数学系毕业后，2010年赴美国北卡罗来那大学教堂山分校 (University of North Carolina at Chapel Hill) 攻读生物统计专业（该校专业排名全美前三）硕博连读，三年后于2013年获得博士学位。后赴美国哈佛大学生物统计和流行病系从事博士后研究，并在美国明尼苏达大学获得统计学长聘副教授，曾任明尼苏达大学统计咨询中心主任。

刘岚教授从事统计理论和应用研究。在理论上主要学术成果包括：第一，流行病学和社会学里的干涉问题，提出并论证了在干涉情况下两阶段随机化方法的统计方案，第二，临床医学的非依从性和非随机缺失问题，提出了新的识别性和估计方法用以矫正偏差，第三，fMRI数据降维问题，针对大脑内功能相关区域的信号出现联动的特点提出高效的统计方法。在统计和医学杂志发表论文30余篇，共主导五个国家级的研究项目（其中的一个在当年的NIH基金评审中排名前1%）。刘岚教授担任统计顶级期刊Journal of American Statistical Association (JASA) 的副主编，医学顶级期刊The Lancet 的统计审稿人，医学期刊Journal of American Heart Association (JAHA) 客座编辑（Guest Editor）、统计编辑，Cell子刊Med的统计编辑，Stroke杂志统计编辑，Lancet Neurology、Journal of Thoracic Oncology、eClinicalMedicine统计审稿人，另外还担任了20余个统计、流行病、经济学杂志的审稿人（如American Journal of Epidemiology，Annals of Applied Statistics，Biometrics，Biometrika，Biostatistics，Journal of Econometrics，Journal of the Royal Statistical Society: Series B，Scandinavian Journal of Statistics，Statistics in Medicine 等）。

在统计应用上，刘岚教授在美国食品药品监管局（FDA）工作实习，参与了对于缺失数据指导方案前期的探索研究。在美期间，刘岚教授与医学专家合作，进行实验设计和数据分析，论文发表在多个不同领域医学杂志。同时，刘岚教授和首都医科大学多家附属医院的多个科室都有深度合作。此外，刘岚教授拥有丰富的统计咨询经验，与美敦力公司，美国明尼苏达州财政部、劳工部、刑事犯罪局、纽约房屋管理局均有合作项目。

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三、招聘职位：统计师

（一）岗位职责

1.参与实验室所负责的前沿医学研究项目（涵盖临床研究、转化医学等方向）；

2.参与研究设计，提供专业统计支持，包括样本量估算、随机化方案制定等；

3.建立和维护高质量研究数据库，进行复杂的数据管理和清洗；

4.运用先进的统计方法（如多变量分析、机器学习应用、纵向数据分析、生存分析等）进行数据分析、建模和结果解读；

5.负责或参与撰写统计分析计划（SAP）和研究报告（包括图表制作与结果展示）；

6.根据研究需求，开发或优化特定的统计分析流程和算法；

7.参与结果讨论、论文撰写及国际学术交流。

（二）任职要求

1.顶尖学历背景：

拥有统计（Statisticis）或生物统计学（Biostatistics）硕士或以上学位；

硕士学位毕业于国际一流学府。

2.专业核心能力：

1) 扎实的统计学理论基础（概率论、数理统计、线性模型、广义线性模型、生存分析等）；

2) 精通至少一种主流统计分析编程语言（如R），并能熟练进行数据清洗、处理和分析；

3) 深入理解生物医学研究的设计原则与方法（随机对照试验、队列研究、病例对照研究等）；

4)具备良好的统计建模能力和解决复杂医学问题的能力。

（三）其他重要素质：

优秀的逻辑思维能力、严谨细致的科研态度和独立解决问题的能力；

出色的中英文书面与口语沟通能力（能够在多学科团队和国际合作环境中高效交流），托福105分以上；

强烈的求知欲和学习能力，关注生物统计方法学前沿发展。

（四）优先条件：拥有生物医学领域（如流行病学、临床试验、药物研发等）的实际研究或项目经验；熟悉相关监管要求（如FDA/EMA/NMPA）者优先。

四、福利待遇

1.根据应聘者的工作经验和能力，提供具有市场竞争力的薪酬（详情面谈）；

2.享受五险一金、带薪年假、体检和补充医疗保险等；

3.支持个人职业发展，提供必要的工作相关专业培训。

五、申请方法

我们热切期待顶尖学府学子的加入！请将以下材料发送至我们的招聘邮箱：liulan@cimrbj.ac.cn 

提供内容：

1.英文个人简历（必须包含：本科及研究生院校、专业、GPA/排名）

2.英文个人陈述（阐述研究兴趣、技能优势及为何申请此职位）

3.学位证书扫描件（应届生提供在读证明）

4.成绩单扫描件（本、硕阶段

5. 如有，请提供发表论文列表、代表性成果摘要或其他能证明能力的材料。

邮件主题请务必注明：“[姓名]+申请统计师职位+毕业院校”

我们将尽快审阅您的申请材料，并对符合条件的候选人发出面试邀约。本招聘长期有效，至招聘到合适人选为止。

加入首都医学科学创新中心，运用您在海外一流学府锤炼的统计智慧，深度参与国家重大医学科技创新项目，成为引领未来医学统计变革的核心力量！期待您的加入！

ABOUT CIMR

Chinese Institutes for Medical Research (CIMR) is a newly founded institution dedicated to fundamental and translational medical research. The CIMR is located at the main campus of the Capital Medical University, Beijing, China and committed to building a scientist-centered governance framework and fostering a diverse and inclusive work environment. For more information, please visit our website: www.cimrbj.ac.cn

Laboratory Introduction

Lan Liu, Professor at Capital Medical University, Director of the Clinical Research Center, and Associate Investigator at CIMR. Recipient of the Overseas High-Level Talent award. After earning her bachelor's degree in Mathematics from the University of Science and Technology of China, she pursued a Ph.D. in Biostatistics (Top 3 U.S. program) at the University of North Carolina at Chapel Hill in 2010, obtaining her doctorate in 2013. She later conducted postdoctoral research in Biostatistics and Epidemiology at Harvard University and became a tenured Associate Professor of Statistics at the University of Minnesota, where she served as Director of the Statistical Consulting Center.

Prof. Liu’s research spans statistical theory and applications. Key theoretical contributions include:

Addressing interference in epidemiology/sociology by proposing and validating statistical frameworks for two-stage randomization designs.

Developing novel identification and estimation methods to correct biases from noncompliance and non-random missing data in clinical medicine.

Creating efficient statistical methods for fMRI data dimension reduction, accounting for co-fluctuations in functionally related brain regions.

She has published 30+ papers in statistical and medical journals and led five national research projects (one ranked top 1% in NIH peer review).

Prof. Liu serves as Associate Editor for the Journal of the American Statistical Association (JASA), Statistical Reviewer for The Lancet, Guest Statistical Editor for the Journal of the American Heart Association (JAHA) and Med (Cell Press), Statistical Editor for Stroke, and reviewer for Lancet Neurology, Journal of Thoracic Oncology, eClinicalMedicine, and 20+ other statistical/epidemiological/economics journals (e.g., American Journal of Epidemiology, Annals of Applied Statistics, Biometrics, Biometrika, Biostatistics, Journal of Econometrics, Journal of the Royal Statistical Society: Series B, Scandinavian Journal of Statistics, Statistics in Medicine).

In applied statistics, Prof. Liu interned at the U.S. FDA, contributing to exploratory studies for missing data guidelines. She collaborated extensively with medical experts in the U.S. on experimental design and data analysis, publishing across medical domains. Currently, she partners with multiple departments at Capital Medical University’s affiliated hospitals. Her statistical consulting experience includes projects with Medtronic, the Minnesota Departments of Finance/Labor, the Bureau of Criminal Apprehension, and the New York City Housing Authority.

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Open Positions

Biostatistician

Main Responsibilities

a. Participate in cutting-edge medical research projects (clinical/translational studies).

b. Provide statistical support for study design, including sample size estimation and randomization.

c. Establish/maintain high-quality databases; perform complex data management/cleaning.

d. Apply advanced statistical methods (multivariate analysis, machine learning, longitudinal/survival analysis) for modeling and interpretation.

e. Lead/contribute to statistical analysis plans (SAPs), reports, and visualizations.

f. Develop/optimize statistical workflows and algorithms.

g. Engage in results discussions, manuscript writing, and international academic exchanges.

Qualifications

a. Elite Academic Background:

Master’s or higher in Statistics/Biostatistics.

Graduate degree from a globally top-tier institution.

b. Technical Expertise:

Strong foundation in probability, mathematical statistics, linear/generalized linear models, and survival analysis.

Proficiency in ≥1 statistical programming language (e.g., R) for data cleaning/analysis.

Deep understanding of biomedical study designs (RCTs, cohort/case-control studies).

Proven ability in statistical modeling and solving complex medical problems.

c. Essential Attributes:

Excellent analytical skills, meticulous scientific rigor, and independent problem-solving.

Outstanding English/Chinese communication (TOEFL ≥105) for multidisciplinary/international collaboration.

Intellectual curiosity and commitment to tracking biostatistics methodology advances.

d. Preferred Qualifications:

Experience in biomedical research (epidemiology, clinical trials, drug development).

Familiarity with regulatory standards (FDA/EMA/NMPA).

Compensation and Benefits

a. Competitive salary based on the applicant’s work experience and ability (salary negotiable).

b. Social insurance and housing fund, supplementary medical insurance, physical examination and paid annual leave.

c. Opportunities for career development and available professional guidance.

How to apply

We eagerly invite applications from outstanding graduates! Submit materials to: liulan@cimrbj.ac.cn

English CV (must include: undergraduate/graduate institutions, majors, GPA/ranking).

English personal statement (research interests, skills, and motivation).

Scanned degree certificates (or enrollment proof for current students).

Scanned academic transcripts (undergraduate/graduate).

Publication list, representative work, or supporting materials (if applicable).

Email subject line must state: "[Name] + Biostatistician Application + Graduating University"

Applications will be reviewed promptly, with interviews extended to qualified candidates. Positions open until filled.

Join the Chinese Institutes for Medical Research, Beijing!

Apply your statistics expertise honed at world-class institutions to advance national medical innovation projects and become a leader in transforming biostatistics. We look forward to your application!

信息来源于网络，如有变更请以原发布者为准。

来源链接：

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