CIMR-Open Positions for Biostatistician in Lan Liu Lab

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Open Positions for Biostatistician in Lan Liu Lab

Date：2025-07-15

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.

Open position: 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).

Welfare Treatment

a. Competitive salary based on the job applicant's work experience and abilities (salary negotiable).

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

c. Supporting personal career development and providing necessary job related professional training.

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!