Masters degree in Engineering, Computer Science, Data Science, Business or related applied sciences.< />
Masters degree in Engineering, Computer Science, Data Science, Business or related applied sciences. Experience: At least 10 years experience in relevant areas of data intensive projects and research. Demonstrated ability development. Fully conversant with latest trends in data-intensive research platforms Experience in system
projections and planning
visit projections and planning Review data to identify trends, data quality issues, and areas for improvement patient files and data entries (i.e., eCRF's, CRF's) Support the storage and archiving of data as per the SOP visits, audits, site inspections, and similar Support data clean-up activities resulting from assessments Ensure
visit projections and planning Review data to identify trends, data quality issues, and areas for improvement patient files and data entries (i.e., eCRF's, CRF's) Support the storage and archiving of data as per the SOP visits, audits, site inspections, and similar Support data clean-up activities resulting from assessments Ensure
and tablet literacy (Microsoft Office), including data entry (preferably REDCap)
videos, presentation, and pictures and produce TCO data based on the technical advantage/competitive advantages conditions
Fill in the technical parameters of bidding data
samples according to SANS 3001 standards, records data and generates meaningful and sensible test results site visits, geological mapping, and geotechnical data collection. This includes collecting soil samples moisture meters, and other specialized instruments. Data Analysis: Collaborate with Quality Officer, Lab using geotechnical software and tools to analyse data, identify trends, and draw meaningful conclusions assessments. This involves documenting findings, data analysis, and providing clear and concise written
samples according to SANS 3001 standards, records data and generates meaningful and sensible test results site visits, geological mapping, and geotechnical data collection. This includes collecting soil samples moisture meters, and other specialized instruments. Data Analysis: Collaborate with Quality Officer, Lab using geotechnical software and tools to analyse data, identify trends, and draw meaningful conclusions assessments. This involves documenting findings, data analysis, and providing clear and concise written
effective reinsurance strategies.