Biostatistics
Sound methods for clinical and observational studies.
Clinical TrialsObservational StudiesSurvival AnalysisLongitudinal DataMultiple Imputation
Biostatistician, statistical programmer, clinical research, R, SAS and Python
Turning complex clinical data into clear, reliable evidence for public health.
BIOSTATISTICS / STATISTICAL PROGRAMMING / CLINICAL RESEARCHM.S. BIOSTATISTICS, DUKE UNIVERSITY
(001)
Clarity, rigor and meaningful evidence.
I'm a Biostatistician and Statistical Programmer with a Master's degree in Biostatistics from Duke University. I also attended the PhD program in Biostatistics at UNC Chapel Hill for four semesters, and my undergraduate studies at Salisbury University span Biology, Chemistry, Mathematics and Statistics.
I currently work at a contract research organization supporting clinical research of infectious diseases, and I'm looking to grow into biotechnology or medical device roles. I'm passionate about advancing public health and communicating statistical concepts clearly to non-technical audiences.
0+Years generating TFLs
0Semesters of PhD study
0Undergraduate disciplines
0Languages: R, SAS, Python
(002)
Statistical analysis, programming and communication for clinical research.
Statistical Programming
Extensive R and SAS experience, growing in Python.
RSASPythonTFLsReproducible Code
Clinical Research
Four years supporting efficacy and safety analyses.
EfficacySafetyDemographicsSAP DevelopmentCDISC
Data Communication
Clear analytical text for any audience.
TablesFiguresListingsAnalytical TextData Visualization
(003) From data to evidence
Every analysis starts with the right question and ends with a result people can trust.
(007)
01 / 07
Clinical Trial Analysis
My statistical reasoning process for a clinical trial, from research question to interpretation.
SAPMethodologyInterpretation
02 / 07
R and SAS Coding Samples
Clean, documented code for analysis and reporting.
RSASReproducibility
R
SAS
03 / 07
Manuscript Contributions
Statistical output I created for published research.
AnalysisFiguresAnalytical Text
04 / 07
TFL Gallery
Tables, figures and listings for efficacy, safety and demographic data.
TablesFiguresListings
05 / 07
Sample README
Documentation that makes an analysis easy to follow and reproduce.
DocumentationWorkflow
06 / 07
Freelance Statistical Project
A project completed through freelance statistical support.
Data CleaningAnalysisReporting
07 / 07
SDTM, ADaM and CDISC
A demonstration of clinical data standards knowledge.
SDTMADaMCDISC
(005)
A clear path from question to conclusion.
001.Understand
Define the question, design and objectives.
002.Prepare
Clean, structure and validate the data.
003.Analyze
Apply the right statistical methods.
004.Communicate
Turn results into clear TFLs and text.
005.Refine
Check assumptions and document every step.
(006)
An interdisciplinary path into biostatistics.
- 01
Salisbury University
Undergraduate studies in Biology, Chemistry, Mathematics and Statistics.
- 02
Duke University
Master's degree in Biostatistics.
- 03
Duke CFAR Internship
Foundational Python in the Center for AIDS Research.
- 04
UNC Chapel Hill
PhD program in Biostatistics, four semesters.
- 05
Contract Research Organization
Clinical research of infectious diseases. Four years of TFLs.
SEEKING BIOSTATISTICIAN OR STATISTICAL PROGRAMMER ROLES IN BIOTECHNOLOGY AND MEDICAL DEVICES
(008)
Methods and tools from coursework and practice.
Programming
R and SAS daily, foundational Python.
Clinical Trials
Design and analysis, efficacy and safety TFLs.
Causal Inference and Epidemiology
Observational study analysis and study design.
Survival and Longitudinal
Time-to-event, correlated and repeated measures.
Categorical and GLMs
Categorical data analysis and generalized linear models.
Missing Data and CDISC
Multiple imputation plus SDTM and ADaM standards.
I've contributed to several published manuscripts, all available on PubMed.
Statistical Analysis
Designing and running the analyses behind the findings.
Tables and Figures
Building publication-ready statistical output.
Analytical Text
Writing methods and results for reviewers and readers.
Reproducible Code
Documented programs behind every result.
DUKE UNIVERSITY, UNC CHAPEL HILL, SALISBURY UNIVERSITY, DUKE CFAR, R, SAS, PYTHON, SDTM, ADaM, CDISC
Full-time roles and freelance statistical support.
Biostatistician
For biotechnology and medical device teams.
- Clinical trial analysis
- Observational studies
- Statistical methodology
- SAP development
Freelance
Freelance Statistical Support
Available on freelancestatistician.com.
- Data cleaning and SAP development
- Appropriate statistical analyses
- Data visualization and interpretation
- Final report generation
Statistical Programmer
For clinical programming teams.
- R and SAS programming
- Efficacy and safety TFLs
- SDTM and ADaM datasets
- Reproducible reporting
Interested in a biostatistics, statistical programming or clinical research opportunity?