About Me

I am passionate about leveraging data to derive new insights, develop optimal strategies, and deliver products efficiently. I love to create data visualizations, dashboards, and applications. I have professional experience in data science, development work, and project management across multiple industries including Biotechnology/Pharma and Medical Technology. My other interests include UI/UX design and investment strategy development.

Skills

Quantitative Data Analysis, Data Visualization, Dashboard Creation, R Package Development, Statistics, Product Research, UI/UX Design, Software Development Life Cycle (SDLC), Software Testing, Project Management, Risk Management, Relational Databases, Communication

Programming Languages: R, Python, SQL
Tools: R Studio, Shiny, Apache Spark, Databricks, Looker, Azure, GitHub, VS Code, MySQL Workbench, pgAdmin, JIRA

Favorite Programming Packages / Libraries:

R: ggplot2, Shiny, dplyr, gridExtra, caret

Python: pandas, numpy, Matplotlib, scikit-learn

Professional Experience

Data Scientist, Canary Medical (2022-Present)

Utilized R, Python, and SQL to perform quantitative data analysis and create data visualizations to drive business development and product direction on multiple software products including Software as a Medical Device (SaMD) products.
Created an interactive dashboard using SQL, R, HTML, and CSS to allow both technical and non-technical groups to explore key performance indicators and data trends.
Increased efficiency of software product testing by 30% leveraging R to create, execute, and automate test scripts.
Assisted with B2C software product design and strategy by employing project management software and techniques to gather requirements, write and manage product documentation, manage timelines, and create product release strategies.
Assisted with AI/ML model development for B2C software products by providing feedback on model design, validation, and how the model will fit into the product design and development life cycle.

Data Sciences Product Leader, Genentech (2020-2022)

Developed an interactive application leveraging R, HTML, and CSS that increased study work efficiency by 50% through automating the review process of multiple reports and data listings.
Led 4 data managers across 3 teams. Advised on best practices for study design, data collection, data management, and data cleaning.
Led the data collection and data quality efforts on 5 studies across multiple therapeutic areas including Oncology, Neurology, and Ophthalmology.
Worked cross-functionally to develop risk management strategies across multiple highly regulated studies that decreased overall study risk and allowed for increased time spent on critical study data points and operations.

Rika Ichinose, Patrick Aubin, Scott Schumacker, Fred Cushner, Recovery of Ambulation After Staged Bilateral Total Knee Arthroplasty is Not Affected by Timing of Second Side Surgery: A Retrospective Analysis of Implanted Sensor Data, The Journal of Arthroplasty, 2025

Publications

Schumacker, S.T., Coppage, K.R. & Enke, R.A. RNA sequencing analysis of the human retina and associated ocular tissues, Sci Data 7, 199 (2020).

(Over 9,000 accesses)

Schumacker, S.T., Chidester, C.A., Enke, R.A. & Marcello, M.R. RNA sequencing dataset characterizing transcriptomic responses to dietary changes in Caenorhabditis elegans. Data in Brief 25, (2019).

Education and Professional Development

James Madison University, BS Biology

Undergraduate Research - Computational Genomics and Transcriptomics

Professional Development