Consulting Services
I provide data engineering and analysis services for clinical and health research. Contact me to discuss your needs.
Since 2012, as a data engineer, I have built numerous validated and performant data solutions trusted by hundreds of projects at pharmaceutical companies, universities, and other organisations. Since 2022, as a biostatistician, I have delivered significant findings on pediatric type 1 diabetes outcomes using linked data.
With extensive experience on oncology, hepatitis C, and type 1 diabetes research teams, I understand the rigors of successful projects. I am motivated by participants, clinical staff, and researchers who collaborate to advance medical science, and I work hard to help researchers efficiently manage and understand data.
Below are some examples of tasks I can help with.
Data Processing and Analysis
Build streamlined ETL pipelines with Python to move, merge, and clean your data.
Implement SQL data models and optimise PostgreSQL configurations to make the most of your data.
Create detailed and insightful analytics with Metabase to monitor your projects and uncover valuable patterns.
Clinical Research Data Management
Design Case Report Forms (CRFs) or XLSForms with ODK or OpenClinica to collect valid and clean data.
Deploy web and mobile systems with ODK for flexible, efficient, and validated data collection.
Develop tailored solution architectures to meet your team's or organisation's data needs.
Contact Information
- Location: Sydney NSW, Australia (UTC+10)
- Email: lindsay.stevens.au --at-- gmail.com
- GitHub: https://github.com/lindsay-stevens/
- LinkedIn: https://www.linkedin.com/in/lindsay-stevens-83b17875/