Laboratory Technologist: Sigal Lab
Durban Area, South Africa
• Transforms large amounts of data into usable format to look for patterns of health trends which can impact government policies and responses to the ongoing Covid-19 Pandemic• Builds, coordinates, supervises all design, development, and implementation of REDCap database for study data collection to understand how SARS-CoV-2 evolves and test efficiency of vaccines• Efficient maintenance and development of algorithms and computational pipelines for data processing• Deploys automated data cleaning, pre-processing and high-level analytics with multiple data sources.• Performs of biostatistical analyses from data collected utilizing techniques of cell culture, flow cytometry, luminex, ELISA, Elispot, cell sorting and confocal microscopy. • Conducts complex analyses (GEE, GMM, Cox proportional hazards modelling, logistic regression, etc.) and record-keeping in MATLAB, Stata, and R for data tabulation, visualization, processing, wrangling, cleaning, and analysis• Hand-selected to attend Sub-Saharan African Network for TB/HIV Research Excellence Biostatistics course 2022• Promoted to investigate ART treatment adherence and viral load in dried blood spots by tandem LC-MS/MS• Authored MATLAB programming language code to analyse Time-lapse Microscopy Images of Mtb infected human macrophages• Trained in BSL2, for HIV and TB-infected samples for isolation and maturation of human monocyte-derived macrophages• Investigated Metformin treatment effect on Mtb-infected human monocyte-derived macrophages • Co-wrote AMFAR grant proposal with Principal Investigator Dr. Alex Sigal, awarded 2018• Completed Survival Analysis (Poisson and Cox Regression) statistical course in Stata and R programming languages