Healthcare Data Scientist Needed

Job ID: 37994978

Budget: $1,500 – $3,000 USD

creation and management of more than one data archive to hold medical data.developing data standards that are needed to describe data.develop software to visualize and analyze the data.build an infrastructure that is used by end users on a web platform to access the data.The data archive will develop a data submission pipeline ensuring appropriate quality control standards.Each data archive should plan for a help desk to work with those who are trying to upload data. Each data archive must develop plans to make the data readily available.The data that will be deposited in a particular archive need not be restricted to a particular data set.Each data archive should consider storing and curating the appropriate data (either raw or processed).A data archive may propose evaluating deposited data and scoring them to allow some guidance about data quality.Each data archive should plan to assign persistent identifiers to deposited data and to processed data to allow users,an easy way to cite the data sets that are being used. A data archive is expected to allow users to have a space where they can share data privately to facilitate collaboration prior to publication. Such private enclaves must only last for a defined period of time before that data set is shared with the rest of the users.Each data archive will provide an interface that is accessible to anyone with a web browser. A data archive will make appropriate query tools and summary data easily available.users will want to analyze and/or use visualization tools to interact with the data without downloading any data.A data archive is strongly encouraged to use cloud storage and computing capabilities.When possible, a data archive is expected to use existing infrastructures and standards. These could include persistent identifiers such as Digital Object Identifiers.applicants should describe approaches to controlling data access, protecting privacy, respecting and managing consents, and adhering to the highest standards of ethical practice.
Related categories: Data Visualization Data Architecture