Description Main purpose of the job: The main purpose of a data manager in a scientific research setting is to oversee oversee the collection, organization, and storage of data generated from experiments, observations, or surveys the quality, security, and accessibility of the data throughout the research project and beyond Location: performance areas: Technical Data Management and Analytics: Developing and implementing data management plans to to ensure data is collected, processed, and stored in compliance with ethical, legal, and regulatory requirements
Description Main purpose of the job: The main purpose of a data manager in a scientific research setting is to oversee oversee the collection, organization, and storage of data generated from experiments, observations, or surveys the quality, security, and accessibility of the data throughout the research project and beyond Location: performance areas: Technical Data Management and Analytics: Developing and implementing data management plans to to ensure data is collected, processed, and stored in compliance with ethical, legal, and regulatory requirements
the job:
activities, including analysis and interpretation of data, to conduct research relevant to the discipline tests
TO APPLY:
work-related matters. Managing and overseeing all data capturing and reviews. Overseeing and managing all test
gap, LEAF, Tesco Nature, Spring, Albert Heijn Capturing of compliance related documents and procedures requirements/legal requirements/Health and Safety). Capturing of compliance related documents and procedures
operating procedures. Administers the receiving, capturing and distribution of all samples to ensure correct applicable) specimens for testing. • Verifies, capture and validates information on the Meditech system
operating procedures. Administers the receiving, capturing and distribution of all samples to ensure correct applicable) specimens for testing. • Verifies, capture and validates information on the Meditech system
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