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
Qualification (Mechanical, Industrial & Chemical Engineering). Formal training in Quality Management Principles 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
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
Graduates : You've got your diploma in Industrial Engineering or BsC in Food Sciences and Technology now it's in Industrial Engineering or Food Science and Technology, you'll: Industrial Engineering Focus: Optimize Processes: Utilize your knowledge of industrial engineering principles to analyze and improve production 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
Knowledge of Raw material handling and risks associated to raw materials production processes, quality the ability to monitor and recognise out-of-spec data or control points Administration skills, ability
Knowledge of Raw material handling and risks associated to raw materials production processes, quality the ability to monitor and recognise out-of-spec data or control points Administration skills, ability
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
a relevant field (e.g., Quality Management, Engineering,) or equivalent work experience. Proven experience Certified Quality Engineer). Experience with statistical process control (SPC) and data analysis tools.
provides strategic input, specialist advice and associated tools, processes as well as methodologies to Investigate all significant environmental incidents and associated follow up actions, whilst implementing actions
provides strategic input, specialist advice and associated tools, processes as well as methodologies to Investigate all significant environmental incidents and associated follow up actions, whilst implementing actions