My Journey
I am a rigorous biostatistician and epidemiologist with over 9 years of experience in health data analytics, statistical modeling, and large-scale data management. Certified in SAS Base Programming and Clinical Trials Programming, I am transitioning from academia to the pharmaceutical industry to apply my expertise in CDISC standards (SDTM/ADaM) and real-world evidence (RWE) to clinical research and regulatory submissions.
With a proven track record in international projects, I excel in collaborative environments, delivering submission-ready insights and supporting high-quality publications.
Education
- Master’s in Public Health - Aix Marseille University
- PHD in Infectious Disease - Aix Marseille University
- SAS Certifications - Base Programming and Clinical Trials Programming
- Additional Training - Introduction to the Principles and Practice of Clinical Research
- Additional Training - Infectious Disease Transmission Models for Decision-Makers & R Programming
Professional Experience
Academic Research
- Led multiple epidemiological studies involving complex survey data
- Developed statistical models for population health research
- Published findings in peer-reviewed journals
Statistical Consulting
- Provided biostatistical expertise to research teams
- Designed and implemented analysis plans for clinical studies
- Trained researchers in statistical methods and software
International Collaborations
- Collaborated with international research teams on health data projects
- Experience with multi-country surveillance systems
- Cross-cultural project management and communication
Technical Expertise
Programming Languages
- SAS: Advanced proficiency with macros, PROC SQL, ODS
- R: Extensive use of tidyverse, survival analysis, geospatial packages
- Python: Data manipulation and statistical analysis
Specialized Skills
- CDISC standards implementation (SDTM, ADaM, define.xml)
- Regulatory submission preparation
- Real-World Evidence (RWE) & Statistical Modeling
- Health Economics & Outcomes Research (HEOR)
- Geospatial Analysis & Epidemiology
- Machine Learning & Predictive Analytics
Professional Development
- Continuous learning in pharmaceutical industry standards
- Regular attendance at biostatistics and epidemiology conferences
- Active member of relevant professional associations
What Drives Me
I am passionate about transforming complex health data into actionable insights that can improve patient outcomes and support evidence-based decision making in healthcare and pharmaceutical development.
Ousmane Diallo, MPH-PhD – Biostatistician, Data Scientist & Epidemiologist based in Chicago, Illinois, USA. Specializing in SAS programming, CDISC standards, and real-world evidence for clinical research.
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