SKILLS AND COMPETENCIES
Statistical softwares and programming: R, Python, SAS, STATA, SQL, GitHub and SPSS for data analysis and statistical modeling.
Mathematical modelling of infectious disease: SIR, SEIR (coursework-based)
Bayesian Analysis: Bayesian hierarchical models (brms), credible intervals and model comparison (LOO), spatial autocorrelation and clustering (Moran’s I, LISA).
Applied machine Learning: logistic regression, random forest, XGBoost, and Time-series modelsÂ
Data Science & Statistical Analytics: Regression analysis (Linear, GLMs, Poison, Logistic, Multilevel, Survival), Multivariate & Longitudinal modeling, Complex survey analysis (Weights & Design Effects), Geospatial analysis, Data visualisation
Tools: Epi Info, GEODA, QGIS, ggplot2, matplotlib, Power BI, and Excel for geospatial and epidemiological data analysis and visualisation.
Strong in data management, quality assurance
Research: Study design, Data pipelines, Reproducible workflows, Scientific writing
Design and implementation of cross-sectional, case-control, cohort, and RCT studies.
Skilled in outbreak investigation, disease surveillance, and trend analysis.
Proficient in controlling bias and confounding using design- and analysis-based methods.
Experience in program evaluation, risk assessment, and policy translation.
Knowledge of Clinical trials, Good Clinical Practice (GCP), research ethics, and biosafety standards.
Strong critical thinking and ability to interpret complex biological and statistical data.
Skilled in identifying data challenges and delivering evidence-based solutions.
Effective science communicator, able to translate technical results for clinicians, researchers, and policymakers.
Experienced in academic writing (reports, manuscripts, and theses) in English and French.
Strong teamwork skills in multidisciplinary and cross-cultural environments.
Experienced in designing and managing research projects, from protocol to publication.
Skilled in field study organization, supervision, and mentoring peers.
Reliable in meeting deadlines and managing time in high-pressure research contexts.
Quick learner with openness to new methods in biostatistics, epidemiology, and data science.
Upholds ethical standards, confidentiality, and research integrity.
LANGUAGE
🔷English: Fluent / Full professional proficiency
🔷French: Native / Full professional profiency
🔷Spanish: Beginner / Limited working proficiency
🔷Moba: Fluent (local native language)
🔷Ewe: Intermediate / working proficiency