When our values align, there's no limit to what we can achieve.
Responsibilities:
• Participate and contribute to the development of operational plans to ensure data quality
and completeness
• Develop, Implement, and Conduct data quality checks as needed for work/studies
• Contribute technical expertise toward the design, implementation, and scaling up of
sensor systems and analytics
• As a medical informaticist, ensure collection, organization, curation, storage and
safeguarding of patient data, asset teams, and external collaboration
studies is consistent with 21CFR part 11
• Contribute to the overall architecture of the existing data pipelines and workflows,
recommends and implements improvements
• Track emerging study data and works closely with data science team to ensure the
effectiveness of tools and data quality
• Manage own time to meet agreed targets
• Work under general supervision. Performs assignments using established procedures
and general instruction
• Share learnings with key stakeholders and the scientific community through
presentations and peer-reviewed publications.
Minimum Qualifications:
• Master’s degree in Health Informatics, Computer Science, Information Systems, or similar field
• A minimum of 5+years of technical experience, including:
• Python
• Unix/Linux environments
• Version control systems (ex. Git)
• AWS or other cloud-based development
• Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical,
Medidata Rave
• Familiarity with pharmaceutical informatics standards like CDISC and MedDRA
• GCP
• Strong interpersonal and collaboration skills
• Demonstrate the ability to build consensus and be agile to changing circumstances and
priorities
• Hands-on experience with Clinical Data Management, including Case Report Form (CRF)
design, CRF annotation, database design, data collection, data-entry, data validation,
discrepancy management, medical coding, data extraction, database locking, and
regulatory requirements
Preferred Qualifications:
• Clinical trial experience using and deploying digital health technologies
• Experience with electronic data captures (EDC) solutions, e.g., REDCap, Medrio
• Familiarity with medical informatics standards like CDISC
• Experience with AWS or other cloud-based development
• Experience processing large data sets (including from digital health technologies) in a
distributed computing environment
• Experience with SQL or NoSQL-based technologies
• Comprehensive understanding of the landscape of data structures, medical ontologies,
interoperability standards, and data processing tools