Looking to improve your company’s data workflow

Senior Data Scientist / Statistical Programmer with 6+ years of experience building production-grade R packages, automated clinical trial pipelines, and reproducible TFL workflows in regulated environments. Deep expertise in R, CDISC standards (SDTM/ADaM), statistical programming, and end-to-end automation across large-scale clinical datasets. Proven track record of saving thousands of analyst hours through tooling, package development, and workflow optimization.

Senior Data Scientist

GRAIL

Menlo Park, CA

February 2021 - August 2024

• Authored and maintained multiple production R packages used company-wide for clinical trial analysis, validation, and reporting.
• Built automated R Markdown pipelines generating hundreds of Tables, Figures, and Listings (TFLs) to support trial accuracy assessments and regulatory reporting.
• Developed and documented derived variables under CDISC standards (SDTM, ADaM, CDASH) with Git/GitLab collaboration and AWS S3 data management.
• Created an R Shiny app to visualize cancer screening timelines and key events leading to diagnosis.
• Provided statistical programming support for data cleaning, database locks, SAP-driven analyses, and exploratory investigations.
• Partnered with biostatisticians to translate SAPs into analysis specifications and reusable code.
• Built reproducible pipelines with unit tests and a shared code library to ensure audit-ready, backward-compatible outputs.

Reporting Analyst

24 Hour Home Care

El Segundo, CA

April 2020 - January 2021

• Automated weekly accounts receivable aging report in R with HTML/CSS email delivery, saving ~5 hours per week.
• Built ad hoc dashboards and data visualizations to support leadership requests.
• Served as analytics liaison across teams to align reporting needs and delivery.
• Automated batch invoice emails and Azure Web App exports, reducing manual effort across teams.

Actuarial Analyst

HMSA

Honolulu, HI

January 2019 - March 2020

• Automated CRG band renewal in R, reducing runtime from 8 hours to under 1 minute.
• Automated demographic and plan risk factor workflows and forecasting models with Excel/R integration.
• Automated CRG proposal and mental health parity processes; documented methods and led stakeholder walkthroughs.
• Fit empirical distributions using KS tests and MLE for actuarial modeling.

Bachelor of Science

University of California, Irvine

Irvine, CA

2018

• Major in Mathematics
• Minor in Statistics

BAS UCLA Case Competition Finalist (Project Presentation and Project Memorandum)

N/A

N/A

Passed 3 Actuarial Exams (Exam P, FM, SRM)

N/A

N/A