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