Data Analyst Research Assistant

Hanjun Chen (Hank)

** ******* *** ********, ** **873 Cell: 908-***-****

Email: ****.******.****@*****.***

Summary

Detail-oriented Biostatistics graduate with a strong foundation in statistical methodologies and a background in Pharmacy. Extensive hands-on experience in applying biostatistical techniques for real-world health data analysis across clinical, public health, and educational research projects. Proven ability to integrate advanced statistical methods with practical healthcare insights, developed through direct interactions with patients and medical professionals. Passionate about leveraging data science and biostatistics to enhance health outcomes and support evidence-based decision-making.

Skills

• Statistical Software Proficiency:

o R: ggplot2, dplyr, mice, survival

o SAS: PROC REG, PROC LOGISTIC, MI, MIANALYZE

o SQL: Data extraction and manipulation

• Biostatistical Techniques:

o Regression modeling (linear, logistic)

o Multiple imputation for missing data

o Nonparametric tests and survey analysis

o Data visualization and interpretation

• Technical Proficiency:

o Microsoft Office, REDCap, Box

• Languages:

o Mandarin (native), English (fluent)

• Focus Areas:

o Clinical trials, public health research, medical education, pharmacy Education

Rutgers, The State University of New Jersey

Master of Biostatistics

Sep 2023 – May 2025

Macau University of Science and Technology

Bachelor of Pharmacy

Sep 2018 – Jun 2023

Professional Experience

Rutgers University – Biostatistics & Epidemiology Services Research Assistant

Jul 2024 – May 2025

• Managed and cleaned clinical and public health datasets, ensuring data integrity for statistical analysis using R and SAS.

• Conducted advanced statistical analyses, including regression modeling, multiple imputation, and nonparametric tests, to derive meaningful insights from complex datasets.

• Developed publication-ready tables and summary reports, effectively communicating statistical findings to interdisciplinary teams.

• Contributed to the design of studies, including variable categorization and survey instrument development, ensuring robust statistical frameworks. Nanjing Gulou Hospital

Clinical Pharmacist

Sep 2022 – May 2023

• Reviewed prescriptions and dispensed medications, applying statistical knowledge to optimize medication management protocols.

• Provided patient counseling and participated in ward rounds, utilizing biostatistical insights to inform clinical decisions.

• Managed drug inventory and ensured compliance with clinical protocols, contributing to data-driven healthcare practices.

Research Experience

OCT3 Placental Transporter Study – UPSIDE Cohort

Research Intern

Sep 2024 – May 2025

• Conducted regression analyses and multiple imputation using R and SAS, focusing on the impact of placental transporters on health outcomes.

• Summarized model results and drafted comprehensive variable documentation, enhancing the reproducibility of biostatistical analyses. SNAP GAP Public Health Project

Data Analyst

Nov 2024 – Jan 2025

• Cleaned and visualized food access data using R, applying statistical techniques to identify trends and disparities in community health.

• Produced figures and summaries for community outreach materials, translating complex statistical findings into actionable insights.

RCA Medical Education Evaluation

Research Analyst

Aug 2024 – Nov 2024

• Analyzed pre/post trainee survey data using Wilcoxon tests, assessing the effectiveness of medical education interventions.

• Interpreted attitude changes and summarized key insights, contributing to evidence-based improvements in training programs.

Pre-Analysis Projects: SART CORS & Confidence in Surgery Research Assistant

Feb 2025 – Mar 2025

• Reviewed variable structures and categorized psychological traits, supporting the statistical planning of survey and clinical data projects.

• Assisted in the development of statistical methodologies for analyzing psychological factors in surgical confidence.

Traditional Chinese Medicine Pharmacodynamics Study Research Assistant

Oct 2020 – Dec 2020

• Evaluated the efficacy of herbal formulas for hyperlipidemia and hypertension using statistical analysis to assess treatment outcomes.

• Assisted with experimental design and toxicity assessments, applying biostatistical principles to ensure rigorous evaluation.

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