the ability to monitor and recognise out-of-spec data or control points
Administration skills, ability
where required
Ensure all specifications is captured and internal requirements are met
Participate
standards. Approving, maintaining, and accurately capturing and authorizing any changes to manufacturing master re-occurrence of incidents. Ensuring all necessary data, training of personnel and applicators, and health
the ability to monitor and recognise out-of-spec data or control points Administration skills, ability projects where required Ensure all specifications is captured and internal requirements are met Participate
the ability to monitor and recognise out-of-spec data or control points Administration skills, ability projects where required Ensure all specifications is captured and internal requirements are met Participate
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
and Data Management Ensure regional team accurately and regularly capture Laboratory samples data onto laboratory information systems enable access to reliable data and reporting for trend analysis and decision making accuracy of improvement processes. Share relevant data with regional agric management and processing team
and Data Management Ensure regional team accurately and regularly capture Laboratory samples data onto laboratory information systems enable access to reliable data and reporting for trend analysis and decision making accuracy of improvement processes. Share relevant data with regional agric management and processing team
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
Masters degree in Engineering, Computer Science, Data Science, Business or related applied sciences.< />