A health informaticist and data analyst seasoned with professional medical and clinical training, passionate about medical, clinical research, or pharmaceutical roles.
Overview
7
7
years of professional experience
Work History
Patient Safety Data Analyst
Bristol Myers Squibb
Lawrenceville, NJ
03.2024 - Current
Company Overview: Worldwide Patient Safety
Patient Safety Signal Detection (PRMT5i is a high priority asset in the late clinical development for BMS)
Complete the crucial literature review for 1st generation PRMT5is to help SMT (safety management Team) understand the key differences in the safety profile between BMS-986504 and 1st generation PRMT5is
Fulfilled the safety data review by plot the patients’ lab data in bar charts to show relevant lab abnormalities/trends
Plot the following data together: the Haematological adverse events data, lab data, exposure data, medication with treatments and procedures data, help the SMT to better access the Haematological impact on the safety profile of BMS product
Next Generation Safety Science
Reduce the manual efforts needs to evaluate the signals by prioritizing the cases that needs the most attention through the Machine aided Signal Evaluation and Gen AI assisted case review
Supporting the implementation of the new signal detection management system LSSRM
Work with the team to provide as needed about the document requirements
Help with the testing and verification of the implementation of the requirements
Worldwide Patient Safety
Data Analyst
Bristol Myers Squibb
Lawrenceville, NJ
02.2023 - 03.2024
Company Overview: Global Drug Development IT
Clinical Trial Analytics Work Bench
Developed and/or maintained Interactive Tableau Dashboard to support the UI needs for Clinical Trial Workbench project
Integrated Tableau writeback to capture user inputs and feedback
Collaborated with Data engineers, Product and Program managers to analyse data to identify trends, patterns, and insights
Generative AI Patient Safety Narratives
Evaluation of AI Generated Efficacy Narratives, conduct a comprehensive performance analysis of the LLM solution by comparing a larger set of machine-generated documents with human-generated document
Perform analysis to improve the Generative AI solution
Speed clinical trial by accelerating the Safety and Efficacy Narrative generation, improve the prompts for documents
Global Drug Development IT
Professional Registered Nurse
01.2020 - 01.2024
Part Time
Data Analyst
Nutrition Policy Institute, University of California
05.2022 - 08.2022
Conducted data analysis from two large online surveys (with over 26,000 responses and 250 variables) to inform the relevant program and policy changes for the Federal Special Supplemental Nutrition Program for Women, Infants, and Children (to improve WIC shopping experience, and improve WIC enrolment and use)
Applied Mixed effects linear regression and Ordinal Logistic Regression to calculate the P value and the adjusted mean difference, Applied Bonferroni correction for multiple comparisons
The categories include Race, Urbanicity and Language and WIC time etc
Filled data shell of Rural/Nonrural, created dataset to link between County-State Name, State-County FIPS, and ZIP Code
Merged multiple datasets and updated dataset codebook for future data analysis
Presented the updated data analysis findings at regular meetings with project collaborators, including Pepperdine University and the National WIC Association
Professional Registered Nurse
01.2018 - 01.2020
Full time
Education
Master of Science - Health Informatics and Analytics