refine data collection tools, design, develop, and maintain databases, perform logic-based data validation validation rules for quality assurance on data, timely reporting, and documentation Location: VIDA – Chris Johannesburg, Gauteng Key performance areas: Technical Data Management and Analytics Contribute to refining development of HDSS data collection forms Draw up the specifications for harmonized data sets to send out participating HDSS sites Guide and lead routine data operational reports to inform on smooth field processes
refine data collection tools, design, develop, and maintain databases, perform logic-based data validation validation rules for quality assurance on data, timely reporting, and documentation Location: VIDA – Chris Johannesburg, Gauteng Key performance areas: Technical Data Management and Analytics Contribute to refining development of HDSS data collection forms Draw up the specifications for harmonized data sets to send out participating HDSS sites Guide and lead routine data operational reports to inform on smooth field processes
the job: To oversee the collection of interview data and biological specimens according to best practices update study-specific job aides Collect participant data from medical notes and complete CRFs Maintain full Prepare health facilities and communities for data study entry Provide regular updates on the study to key
job:
ian-senior-data-scientist-cape-town-lc_694/ ESSENTIALS MSc/PhD in (Bio)Statistics OR Data Science , 10 inference from observational data (AKA “real-world evidence from real-world data / RWE from RWD”) is highly company offering specialised services in the form of data science, biostatistics analyses and interpretation Using their in-house clinical health expertise, data analytics, statistical and modelling expertise, client develops tools to translate large data sets into meaningful data science solutions and outcomes. In
videos, presentation, and pictures and produce TCO data based on the technical advantage/competitive advantages conditions
Fill in the technical parameters of bidding data
out by the Production Manager Capture all relevant data on the system Final Product Ensure finished product conductivity test for each works order produced record data and store sample for 6months before sample may be
Managements and direction focus: Ensure data collection and analyses of data trends and force areas for improvement improvement drives. Circulate data and management reports to share information on focus areas and needs for
overall operational excellence. Utilize Data Analysis: Utilize data analysis techniques to identify trends improvement within the production environment, driving data-driven decision-making. Food Science and Technology
that all testwork data is captured electronically Ensure traceability of all testwork data and reporting