Contact Information

📍 Monroe, WA
📞 +1 425-420-7223
📧 nicklee0101@gmail.com
🔗 LinkedIn • Portfolio
Download Resume (PDF)

🧠 Summary

Data engineer and scientist in life sciences with 4+ years of wet lab experience and an MS in Data Science (UC Berkeley). I build end-to-end RWE pipelines — from raw EHR and claims ingestion through dbt-modeled cohorts to propensity score matching, survival analysis, and SHAP interpretability — using Python, SQL, Snowflake, dbt, and AWS. I translate between clinical science and data infrastructure in ways a pure data engineer can’t.

💼 Work Experience

Data Scientist
Seattle Children's Research Institute
Jun 2024 - Present
Seattle, WA
  • Developed comprehensive documentation for FAIR data management standards and data ecosystems (e.g., REDCap, LabKey, NIH public repositories, and ontologies) to facilitate data sharing across consortiums, utilizing GitHub Pages with Markdown, HTML, CSS, and Ruby.
  • Curated and prepared sequencing and microscopy datasets for public release, supporting the NIH's FAIR data sharing initiative and advancing reproducibility in scientific research.
  • Designed metadata templates aligned with data models from four distinct repositories and established biomedical ontologies to ensure interoperability across systems and collaboration between five institutions
Biomedical Data Curator
Sage Bionetworks
Mar 2023 - May 2024
Seattle, WA
  • Processing, cleansing, and verifying the integrity of data used for analysis from 10+ institutions and 20+ contributors across the world for four data-sharing portals to advance translational research for Alzheimer's treatments.
  • Transforming, cleaning, and annotating 500,000+ files containing sensitive Personally Identifiable Information (PII) following Findability, Accessibility, Interoperability, and Reusability (FAIR) principles in secured AWS EC2 instances to share on four NIH-funded projects.
  • Designed the data model for the Exceptional Longevity (EL) portal ensuring metadata harmonization and improving data discoverability on the publicly available portal.
Research Analyst II
Seagen
Mar 2022 - Feb 2023
Bothell, WA
  • Aided in the study design and implementation of 20+ multiparameter experiments characterizing new therapeutic candidates to advance them from proof of concept to preclinical testing.
  • Deployed R Shiny dashboard that democratized 5 years of protein pharmacokinetic and pharmacodynamic experiments to empower the research department to make data-driven decisions for therapeutics.
Data Engineer & Solutions Architect Consultant
Ramparts Bioscience Inc.
Feb 2022 - Jul 2022
Monrovia, CA
  • Developed reporting tools in Python and scalable PostgreSQL database architecture to track metrics in preclinical studies involving 5 departments.
  • Centralized data reporting and automated routine analysis by creating ETL pipelines using R, Python, and SQL to extract metrics from machine files into a PostgreSQL database and PowerBi dashboards improving cross-department collaboration.
Senior Research Analyst
Ramparts Bioscience Inc.
Sep 2021 - Jan 2022
Monrovia, CA
  • Created PowerBi dashboard to track 10+ key metrics related to product performance over time to detect product drift and expiration leading to improved product designs.
  • Devised A/B experimentation that saved 11 days on 2-week-long routine processes and improved product yield by 50%.
Research Associate I
Ramparts Bioscience Inc.
Aug 2020 - Sep 2021
Monrovia, CA
  • Implemented scalable database schema in Benchling, an electronic notebook software, training for 20+ employees, to document 100+ experiments and record 2000+ metrics on novel therapeutic for drug products.
  • Automated experiment setup and reporting for 5 different routine experiments using custom Excel templates and R scripting reducing hands-on time by 90%.
Analytical Research Associate
Bristol Myers Squibb
Jan 2020 - Jul 2020
Seattle, WA
  • Created reports of 20+ key metrics from multiple high-throughput molecular experiments, 400+ samples/week to support research and quality assurance studies for Abecma (ide-cel) and Breyanzi, multi-million-dollar chimeric antigen receptor (CAR) T cell therapies.

🎓 Education

M.S. in Information and Data Science
University of California, Berkeley
(Jan 2022 – Aug 2023)
B.S. in Cellular and Molecular Biology
Seattle Pacific University
(Sep 2015 – Mar 2019)

🛠 Skills

Analytics

  • A/B Experimental Design, Hypothesis Testing, Data Visualization, EDA

Data Engineering

  • Data Wrangling, FAIR Principles, Data Governance, SQL, PostgreSQL, Ontologies

Programming & Tools

  • Python, R, Docker, AWS, Bash, Power BI, Tableau, Shiny, Git, RESTful APIs

Pharmaceutical Domain

  • Drug Development, Benchling, ELNs, GLP, HIPAA, FDA 21 CFR Part 11

Soft Skills

  • Cross-department Collaboration, Initiative, Communication, Teamwork

🧾 Certifications

  • AWS Certified Cloud Practitioner (Nov 2023 – Nov 2026)

Volunteering & Leadership

Seattle Children’s Hospital – Child Life Volunteer (2016 – 2017)

  • Provided companionship and a safe environment for children undergoing care.

Evergreen Health – Front Desk Receptionist (2013 – 2016)

  • Assisted with check-in, patient navigation, and HIPAA-compliant data entry.