Resume
Biostatistician | Data Scientist | Public Health Analytics
Johannesburg, South Africa | marothi.letsoalo.001@gmail.com | LinkedIn | ORCID: 0000-0003-2170-6312
Professional Summary
A highly motivated and results-oriented Biostatistician and Data Scientist with over 7 years of experience in designing, analyzing, and reporting on clinical trials and cohort studies, including extensive work with large and complex longitudinal datasets. Passionate about leveraging advanced statistical methodologies, particularly in R, to drive evidence-based decision-making in health research. Proven ability to lead statistical planning, create linked datasets, and contribute significantly to scientific publications. Adept at collaborating with multidisciplinary teams to deliver impactful research findings, with a keen interest in contributing to mental health research. Committed to clear communication and fostering a culture of data-driven research through mentorship and training.
Field & Skills Highlights
Biostatistics | Bioinformatics | Data Science | Pharmacometrics | Clinical Research | Clinical Data Management | Generative Artificial Intelligence| Statistical Analysis & Modeling | Dataset Management | Clinical Trials | Epidemiology | Healthcare Analytics | Public Health | Data Visualization | Automated Reporting | Scientific Collaboration | Scientific Communication | Mentorship
Core Skills
- Highly analytical and results-oriented professional with advanced proficiency in statistical analysis and modeling using R (including pipeline development), SAS (including macro development), Python, and Stata.
- Proven expertise in end-to-end dataset management, from extraction, cleaning, and processing to validation and the creation of complex linked and harmonized datasets using R, Python, SAS, and SQL.
- Comprehensive experience in the design and execution of clinical trials and epidemiological studies, including study design, statistical analysis plan development, sample size calculation, randomization, and analysis of diverse public health data (HIV, TB, COVID-19, mental health).
- Skilled in translating complex data into actionable insights through automated reports with Quarto and interactive dashboards with R Shiny.
- Strong scientific collaborator and mentor with a record of co-authoring peer-reviewed publications, presenting research findings, and training junior statisticians.
Work Experience
Senior Biostatistician, CAPRISA, Durban, South Africa (1/2021 to 8/2025)
Strategic Study Leadership & Grant Acquisition
- Contributed significantly to the successful acquisition of research grants totaling over R100 million by providing expert statistical input into grant proposals.
- Spearheaded study design, statistical planning (including sample size optimization, randomization, and SAP development) for numerous clinical trials and observational studies.
- Led analysis of large, complex longitudinal datasets to identify key predictors of health outcomes, directly informing public health interventions.
Efficiency, Innovation & Cost Savings
- Developed and implemented R-based analysis pipelines, reducing TLF generation time by over 90%.
- Insourced previously outsourced statistical work, achieving organizational cost savings exceeding R1.5 million.
Public Health Crisis Response & Reporting
- Led the CAPRISA Epidemic Intelligence Unit, delivering critical, timely data analysis, statistical insights, and interactive visualizations to guide public health responses during major events like the COVID-19 pandemic.
Advancing Research & Data Quality
- Co-authored numerous peer-reviewed scientific manuscripts by providing expert statistical guidance and ensuring methodological rigor.
- Contributed vital statistical input into study database design, data validation, and quality control measures.
Capacity Building & Mentorship
- Fostered a robust data-driven research culture by providing regular training and mentorship to CAPRISA scientists and fellows on advanced statistical methodologies, data visualization, and effective research communication.
Research Data Manager, VLIR-OUS, University of Limpopo, South Africa (6/2016 to 3/2019)
- Managed complex clinical and epidemiological datasets, ensuring data integrity, accuracy, and implementing robust quality control procedures.
- Developed and maintained SQL databases to optimize clinical research data collection, validation, and analysis.
- Trained and supported research teams in data management and analysis best practices, enhancing overall project efficiency.
Junior Lecturer, University of Limpopo, South Africa (1/2015 to 5/2016)
- Delivered lectures and tutorials in introductory statistics and research methodology to undergraduate students.
- Mentored students on research projects, including statistical analysis and interpretation.
Faculty Researcher, University of Limpopo, South Africa (4/2012 to 12/2014)
- Conducted statistical analyses for selected research projects, contributing significantly to study design and data interpretation.
- Played a key role in advancing postgraduate research by reviewing student proposals and presentations, providing critical feedback.
- Demonstrated exceptional organizational and problem-solving skills by developing a comprehensive university-wide academic timetable from scratch, encompassing all faculties and school modules.
Education
PhD in Statistics (Field: Biostatistics) | University of KwaZulu-Natal (Enrolled) July 2024 – June 2027
- Research focus on development and application of a new framework combining rigorous biostatistical methods and machine learning, with possible integration of mechanistic modeling (e.g., pathway analysis and pharmacometrics).
Master of Biostatistics (RSS Accredited) | Hasselt University, Diepenbeek, Belgium September 2018 – July 2020
- Studies through VLIR scholarship and full time at Hasselt University in Belgium.
- Completed with 20 biostatistics-relevant modules and a biostatistics master thesis.
- Thesis received second prize for best development-relevant master’s thesis UHasselt 2020 (International Student category).
Master of Science in Statistics | University of Limpopo, Mankweng, South Africa January 2014 – May 2019
- Completed with applied statistics master thesis.
Honours and Junior Degree
- BSc (Hons) in Statistics
June 2011 - BSc in Statistics & Applied Mathematics, University of Limpopo
June 2010
Specialization Certifications
- Pharmacometrics | Pharmacometrics Africa |
December 2023 – July 2024 - Data Science & Machine Learning | MIT Schwarzman College of Computing, USA |
December 2023 – April 2024
Selected Projects
CAPRISA Epidemic Intelligence Unit
- Led data analysis across SARS-CoV-2, HIV, and other outbreaks.
- Mined and cleaned data from multiple sources.
- Generated insights from large, complex datasets to inform public health interventions and research strategies.
Pharmacometrics Fellowship Project
- Balanced covariates using propensity score weighting in nonlinear mixed-effects models within a Bayesian framework.
- Contributed to a Roche project developing a methodological framework for integrating historical controls in drug development through historical data leverage.
Certifications
- Pharmacometrics (PMx Africa)
- Data Science and Machine Learning (MIT) Verify
- Clinical Trials Programming Using SAS Verify
- Advanced Programmer for SAS 9 Verify
- Base Programmer for SAS 9 Verify
- Statistical Business Analyst Using SAS 9 Verify
- VIARES Clinical Research Data Management
- Design and Interpretation of Clinical Trials (John Hopkins University)
- ICH Good Clinical Practice E6 (R2)
- Designing Big Data Healthcare Studies Part I Verify
- Designing Big Data Healthcare Studies Part II Verify