Senior Clinical Data Scientist
Senior
Applied Epic
Clinical Informatics
Data Analysis
Data Analytics
Data Architecture
Data Governance
Data Integration
Data Management
Data Pipeline
Data Platform
Data Quality Services
Data Science
Data Security
Data Warehouse
Electronic Medical Records
Epic Systems
ETL
Health Information Systems
Healthcare It
Hl7 Fhir
Icd 10
Loinc
Snomed Ct
SQL
Job Description
Karius offers a competitive annual compensation range of USD 133,824 to 200,736, with remote-friendly work options from Redwood City, CA. In the Senior Clinical Data Scientist role, you will serve as the primary data architect for the AXIS real-world evidence registry, designing and operationalizing EHR data extraction pipelines across health systems and turning heterogeneous real-world data into analysis-ready datasets for biostatistics and clinical development. The position involves negotiating data specifications with site Epic Clarity teams and collaborating with biostatisticians to structure complex longitudinal datasets.
Responsibilities
- Lead the EHR data extraction specifications for the AXIS registry, defining data elements, data dictionaries, field mappings, and site-specific translation logic across diverse EHR environments.
- Serve as the main technical liaison to site informatics and IT teams, translating clinical research data needs into executable data queries and extraction protocols; hands-on experience with Epic Clarity and Caboodle is required.
- Design and validate data extraction pipelines that ingest structured EHR data (diagnoses, medications, labs, procedures, utilization) from multiple health systems into a harmonized, analysis-ready format.
- Conduct data quality assessments, anomaly detection, and cross-site consistency validation; implement processes to identify and resolve data integrity issues with sites.
- Partner with the biostatistics team to deliver clean, structured, and well-documented datasets; support data preparation, variable derivation, and dataset specifications for statistical analysis plans.
- Collaborate with clinical operations on site onboarding for clinical data integration, including support for data governance agreements, BAAs, and technical feasibility assessments.
- Build and maintain the registry data model, data lineage documentation, and codebook to ensure reproducibility and audit-readiness.
- Apply knowledge of real-world data standards (OMOP CDM, HL7 FHIR, SNOMED CT, ICD-10, LOINC) to support data harmonization across sites with diverse EHR configurations.
- Support seamless integration between EHR data, the registry EDC, and Karius' standardized internal clinical database.
- Support broader clinical research data analytics across programs, including integrating datasets from multiple sources, building analysis-ready analytic files, and data visualization to support clinical development and biostatistics teams.
- Contribute to the design of data collection strategies for future real-world evidence studies and registry expansions.
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; a master’s degree or MPH with 3-4+ years of relevant experience; or a Ph.D. with 1-2+ 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.
- Demonstrated experience designing or executing EHR data extractions for research or registry studies, including direct engagement with health system informatics or IT teams.
- 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.
- Ability to communicate technical data concepts clearly to non-technical clinical site staff, research coordinators, and clinical operations colleagues.
- Experience with large, multi-site, longitudinal real-world datasets is strongly preferred.
- Knowledge of clinical trial data management principles and ICH-GCP is a plus.
Technologies
Technologies: Epic Clarity, Caboodle, SQL, Python, R, OMOP CDM, HL7 FHIR, SNOMED CT, ICD-10, LOINC
Reports to: Director, Clinical Statistics and Data Management
Location: Redwood City, CA or Remote
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