Seth P. Young
Summary
Detail-oriented Biostatistics graduate student with experience applying statistical programming, data analysis, and automation in regulated pharmaceutical and manufacturing environments. Skilled in R, Python, SAS, SQL, and statistical modeling with hands-on experience supporting clinical trial workflows, regulatory submissions, data validation, and reproducible analytics. Proven ability to collaborate across cross-functional teams, automate reporting pipelines, and communicate complex statistical findings to technical and non-technical stakeholders. Strong interest in statistical applications for process optimization, experimental design, quality systems, and digital transformation in pharmaceutical manufacturing.
Overview
3
3
years of professional experience
Work History
Data Science Intern
Nissan Motor Corporation
Franklin, TN
08.2025 - Current
- Developed automated data workflows and monitoring pipelines for large-scale operational datasets using Python and SQL.
- Applied statistical analysis and predictive modeling techniques to identify usage patterns, process inefficiencies, and performance trends.
- Built dashboards and analytical reporting tools to support data-driven operational decision-making.
- Collaborated with engineering, analytics, and business stakeholders to improve data quality, reporting consistency, and process efficiency.
- Contributed to reproducible analytics and model validation workflows within cross-functional technical teams.
UCB Bioscience
Biometrics and data science Intern
Raleigh, North Carolina
05.2025 - 08.2026
- Developed and validated statistical and data-processing workflows in R and Python for clinical and safety datasets supporting regulatory submissions and compliance standards.
- Automated generation and validation of Tables, Figures, and Listings (TFLs), improving reproducibility, traceability, and reporting efficiency across studies.
- Integrated and reconciled data from clinical databases, external vendors, laboratories, and eCRF systems to ensure high-quality analytical datasets.
- Supported implementation of reproducible analytics workflows and audit trails within Domino Data Lab to improve process standardization and compliance readiness.
- Collaborated cross-functionally with statisticians, programmers, and data stakeholders to troubleshoot data quality issues and streamline analytical processes.
Statistical Programing Intern
UCB Bioscience
Raleigh, NC
05.2023 - 08.2024
- Built a standalone Python application with a custom user interface to automatically bundle TFLs and generate validated, submission-ready packages with automated tables of contents—eliminating the need for end users to write code and significantly accelerating regulatory submission workflows.
- Led team of 4 programmers as Scrum Master, ensured adherence to agile practices, and fostered collaboration.
- Facilitated transition to open source-based solution in BQS department for statisticians and statistical programmers.
Analytics and Reporting Intern
Munibilling
Greensboro, North Carolina
09.2023 - 05.2024
- Developed dashboards using Power BI
- Managed SQL databases to enhance reporting and analytics capabilities
- Streamlined data workflows to improve data accessibility and efficiency
- Analyzed data trends to support financial reporting processes.
- Prepared comprehensive reports to inform internal and external stakeholders on key findings.
Education
Master of Science - Biostatistics
Vanderbilt University
Nashville, TN08-2026
Bachelor of Science - Statistics
University of North Carolina At Chapel Hill
Chapel Hill, NC05-2020
Skills
Statistical Methods:
Regression modeling, clinical trials, experimental design, predictive modeling, multivariate analysis, statistical inference, process monitoring, data validation
Pharmaceutical & Regulatory:
Clinical trial data review, CDISC, Definexml, GCP, regulatory submission support, audit trails, reproducible workflows
Programming & Analytics:
R, Python, SAS, SQL, Tableau, Excel
Platforms & Tools:
Snowflake, Databricks, Azure, Domino Data Lab, Linux/Unix, Agile workflows
Professional Skills:
Cross-functional collaboration, technical communication, process improvement, automation, stakeholder engagement, documentation, continuous improvement, project coordination
Timeline
Data Science Intern
Nissan Motor Corporation
08.2025 - Current
UCB Bioscience
Biometrics and data science Intern
05.2025 - 08.2026
Analytics and Reporting Intern
Munibilling
09.2023 - 05.2024
Statistical Programing Intern
UCB Bioscience
05.2023 - 08.2024
Master of Science - Biostatistics
Vanderbilt University
Bachelor of Science - Statistics
University of North Carolina At Chapel Hill