Research Data Engineer II
Core
Design and maintain scalable medical research databases and clinical data infrastructure to support large public and private grant-funded empirical research.
Role type
Research Data Engineer
Builds
Custom research project-specific database infrastructure solutions for data collection, management, reporting, and analytics
Domain
Biomedical research / Clinical data
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, Java, R, Linux, Git, Change Management, data architecture design, unit and system testing, technical documentation
Preferred skills
REDCap, biospecimen software, electronic laboratory notebooks, cloud technologies (HPC, IaaS, PaaS), SAS programming, SAS macro expertise
Technologies
SQL, Python, Java, R, Git, Linux, REDCap, HPC, IaaS, PaaS, SAS
Responsibilities
Design and implement custom database infrastructure for data collection and analytics; Develop and maintain complex medical research data sources and overall data architecture; Collaborate with investigators and biostatisticians to define data requirements; Program and test applications with code review and quality assurance; Produce comprehensive technical documentation
Seniority
Mid-level, hands-on IC
