Tomasz Mikołajczyk
RWE Statistical Programmer
Warsaw, Poland
I am a statistical programmer with over seven years of experience in the pharmaceutical and medical devices industry. With an MPharm degree, I bring a strong pharmaceutical background to Real-World Evidence (RWE) research, analyzing data from electronic health records (EHRs), claims, and health surveys across the US, Japan, and Europe. I have worked with databases such as Premier, MarketScan, Kantar NHWS, Optum, Truveta, TriNetX, CPRD, IMRD, Pharmetrix, MDV, JMDC, HealthVerity, and Flatiron.
Proficient in SAS, R, Python, and SQL, I develop automation solutions to enhance data research efficiency. As a co-author of several RWE publications and a dedicated mentor, I continuously expand my expertise RWE field as well as in PK/PD modeling and AI/ML solutions.
Services
Real-World Evidence (RWE)
- Designing and executing analyses based on Real-World Data (RWD) sources
- Generating scientific evidence to support publications, academic research, and medical projects
Programming & Automation
- Building reproducible analytical workflows in SAS, R, Python, SQL
- Integration with cloud-based enviroments for efficient big data processing
- Automating data processing and reporting pipelines.
- Developing custom analytical solutions to streamline research projects, such as R Shiny apps.
Statistical Analysis & Data Science
- Preparation and analysis of data from clinical studies, medical registries, and hospital data.
- Application of statistical methods: from descriptive analyses to predictive models and machine learning.
- Deliverables in the form of tables, figures, and summaries compliant with scientific publication standards.
Consulting & Training
- One-on-one programming support
- Mentoring customized to client’s needs
- Workshops on SAS, R, Python, SQL for professionals working with medical data
My Work
Co-authored or acknowledged in scientific publications
- Substantial health and economic burden of COVID-19 during the year after acute illness among US adults not at high risk of severe COVID-19
- Healthcare resource utilisation and costs of hospitalisation and primary care among adults with COVID-19 in England: a population-based cohort study
- Using a data-driven approach to define post-COVID conditions in US electronic health record data
SAS macro creating publication ready output
- A SAS macro responsible of creation a publication ready output out of provided subject level dataset with all variables.
- In addition to simple descriptive statistics it’s capable of displaying p-values from comparison tests or absolute standardized difference of compared groups.
Codelist Manager — R Shiny App for ICD-10 Code Group Management
- An interactive R Shiny application designed to help researchers and data analysts efficiently manage and organize medical code lists (e.g., ICD-10 codes) used in clinical and Real-World Evidence (RWE) studies.
- The app provides an intuitive interface for creating, editing, and exporting custom groups of medical codes directly from a master codelist.
Clients
RWE Programmer 