The Staff Data & Information Architect will work as a part of the Healthcare Data Science team, collaborating with medical partners, work with clinical IT departments, collect and anonymize data in the current EU and international data protection environment.
- Collects, prepares and analysis clinical data from clinical enterprise partners.
- Assists and develops architectural requirements for data analysis platform technology.
- Participates in the Data Governance Council and collaborates with the Research Organization.
- Participates in definition and development of data analysis technology platforms that are service-oriented with reusable components that can be orchestrated together into different methods for different businesses.
- Researches and evaluates emerging technology, industry and market trends to assist in development and/or operational support activities.
- Participates on agile teams helping implement cyber security controls.
- Visits and works with healthcare enterprise and IT departments.
- Anonymize data using the institution approved tool and collects the data.
- Network de-identified data to a predetermined place, for leveraging the build of business relevant DL models.
- Supports multiple projects in clinical domain as a technical expert.
- Researches emerging data technology, industry and market trends to assist in project development and/or operational support activities
- Coaches and mentors team members.
- Proven technical experience
- BSc in a relevant scientific or clinical discipline or equivalent
- Fluency in English (spoken and written)
- Willingness to travel frequently inside Europe.
- Able to handle large amount of data safely and to convert to supported formats required by the Data Science team (DICOM, nifty, nrrd, etc.)
- Familiar with scripting languages (e.g., Python) and Java to solve problems
- Familiar with spreadsheets for data analysis
- Familiar with data privacy regulation, rules. & terminologies.
- Able to setup and use de-identification tools, even those that are existing on the clinical environments at the partners.
- Knows working in Unix/Linus, Windows, Mac environments
- Familiar with networking protocols, proxies and networks in a Healthcare environment
- Familiar with the medical workflow, protocols and standards (DICOM, HL7)
- Familiar with images, image processing and AI terminologies, AI technologies and techniques (tools, processes, best practices)
- Good communication skills
- Flexible, well-organized and team player
- Ability to influence others
- Resourceful problem solver with a can-do attitude
- Has great verbal and written communication skills.
- Self-Starter, proactive, able to work independently with minimal direction
- Ability to quickly identify and prioritize issues, create solutions and meet deadlines.
- Team player with strong interpersonal skills, capable of working within a globally diverse team across different time zones.
- Self-motivated, high energy and strong time management skills
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