Senior Clinical Data Scientist
KariusGenomic Diagnostics company
Redwood City, United StatesSenior
Khosla Ventures
Softbank Vision Fund 2
General Catalyst
5AM Ventures
Gilde Healthcare
Seventure Partners
Data & AI
About the role
TL;DR
Design and operationalize EHR data extraction pipelines for Karius’s real-world evidence registry.
- •The Senior Clinical Data Scientist will design and operationalize EHR data extraction pipelines for Karius’s real-world evidence registry.
- •Key Responsibilities Own EHR data extraction specifications for the AXIS registry.
- •Serve as the primary technical liaison to site informatics and IT teams.
- •Design and validate data extraction pipelines that ingest structured EHR data.
- •Perform data quality assessment, anomaly detection, and cross-site consistency validation.
- •Partner closely with the biostatistics team to deliver clean, structured, well-documented datasets.
- •Requirements Bachelor’s degree in Health Informatics, Biomedical Informatics, Data Science, Computer Science, Biostatistics, Epidemiology, Public Health, or a related quantitative or clinical field with 5-6+ years of relevant experience.
- •Minimum 4+ years of hands-on experience with Epic Clarity and/or other systems; ability to write and optimize SQL queries against large clinical data warehouses.
- •Proficiency in Python and/or R for data transformation, cleaning, and quality assessment at scale.
- •Familiarity with real-world data standards including OMOP CDM, CDISC, HL7 FHIR, SNOMED CT, ICD-10, and LOINC.
- •Experience supporting biostatistics or data science teams with dataset preparation, variable derivation, and analysis-ready data delivery.
Required skills
PythonSQLR
Domain expertise
healthcare
Tech stack
PythonRSQL