jessica lee

─── ABOUT

Building systems that bridge the gap between theory and practice.

I exist somewhere between life science & computer science — where curiosity meets code. My work spans scientific software, data visualization, and building tools that empower researchers and practitioners to think more clearly.

EDUCATION

UC San Diego

B.S. Nanoengineering · Minor in Chemistry

Oregon State University

B.S. Computer Science · Post-baccalaureate

Domains

IoT Systems Healthcare Tech Observability Drug Discovery

Languages & Frameworks

Python C# / .NET SQL React Flask

Tools & Practices

AWS LLM Integration Databricks MongoDB Solution Design

SELECTED WORK

Projects & Experience

orbIC

A browser-native chemical space navigator for hit-to-lead and lead optimization — no installation, no license, no data leaves your browser. Renders 4,147 compounds via TMAP · MST layout.

React
D3
OpenChemLib
Cheminformatics

Neutralize

A browser extension for Chrome and Firefox that analyzes selected text for rhetorical devices — appeals, loaded language, and structural techniques — then offers a neutral rewrite alongside synonym alternatives.

React
TypeScript
Claude API
Chrome MV3

Software Engineer, Solution Engineering @ BioIntelliSense

Sep 2024 – Present · Full-time · Remote

Led development of an internal operations platform serving 200+ users across device lifecycle management and patient processing, built on .NET/Blazor, MongoDB Atlas, and AWS
Architected enterprise security infrastructure with Auth0 RBAC, JWT authorization, AWS VPC peering, and TLS encryption
Implemented Databricks dashboards monitoring 5K+ IoT devices, cutting mean time to resolution by 40%
Designed audit log framework with MongoDB schema and indexing enabling sub-second retrieval

.NET Blazor MongoDB AWS Auth0 Databricks

Project Manager @ Augmedix

Sep 2021 – Jun 2023 · Full-time · Hybrid

Drove product adoption across a 1,500+ user base by leading usability studies, analyzing user behavior data, and bridging engineering and business stakeholders
Achieved 90% product adoption through data-driven UI/UX enhancements and feature prioritization
Reduced average ticket resolution time by 22% via detailed technical specifications with reproduction steps
Improved user satisfaction by 30% through systematic analysis of system telemetry and behavior patterns

Product Management UX/UI Data Analysis

Research Associate @ Vertex Pharmaceuticals

Apr 2019 – Apr 2021 · Contract · San Diego, CA

Developed automated systems for high-throughput experimentation, building Python-based ETL pipelines to process large-scale screening data for drug discovery programs
Engineered ETL pipelines automating integration of 100K+ daily data points, improving hit identification accuracy by 35%
Reduced data processing time by 50% and eliminated manual entry errors through end-to-end pipeline automation

Python ETL Cheminformatics

Earlier roles in life science & research.

Daré BioscienceAnalytical Methods Intern

Feb – Jun 2019

RAPT TherapeuticsMedicinal Chemistry Intern

Jun – Sep 2018

UC San Diego HealthPharmacology Lab Assistant

Oct 2015 – Mar 2019

The EVERY CompanyAnalytical Methods Intern

Jun – Sep 2017

□ FROM THE NOTEBOOK

Mar 2026

On designing for ambiguity in research tools

When users don't know what they're looking for, how do we design systems that support exploration without overwhelming? Notes from a recent project that challenged every assumption I had about search interfaces.

Research UX

Feb 2026

The quiet power of monospace in personal sites

Why more designers are reaching for monospaced fonts — and what it signals about authenticity in digital spaces.

Typography Personal

Jan 2026

Building data pipelines that respect their users

Data ethics isn't just about privacy policies. It's about the micro-decisions we make when transforming, storing, and surfacing information.

Data Ethics Engineering

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