Senior Clinical Data Scientist

Karius

Senior Clinical Data Scientist responsible for designing EHR data extraction pipelines for clinical research at Karius. Collaborating with diverse health systems to provide analysis-ready datasets.

Posted 7/21/2026full-timeRedwood City • California • 🇺🇸 United StatesSenior💰 $133,824 - $200,736 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in EHR data extraction and harmonization, utilizing tools like Epic Clarity and SQL for data management. Proficient in applying real-world data standards and collaborating with clinical teams to ensure data integrity and support research initiatives.

Highest-signal resume keywords

EHR Data ExtractionEpic ClaritySQL Query OptimizationPython Data TransformationReal-World Data Standards

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Applicant Tracking System Keywords

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Hard Skills

Data Extraction SpecificationsData Quality AssessmentData Pipeline DesignStatistical Analysis SupportVariable Derivation

Soft Skills

Technical CommunicationCollaboration

Tools & Technologies

Epic ClaritySQLPythonR

Industry Keywords

Health InformaticsBiostatisticsClinical ResearchEHROMOP CDM

Tech Stack

Tools & technologies

Google Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Own EHR data extraction specifications for the AXIS registry, including data element definitions, data dictionaries, field mappings, and site-specific translation logic across heterogeneous EHR environments.
Serve as the primary technical liaison to site informatics and IT teams, translating clinical research data requirements into executable data queries and extraction protocols; primary experience with Epic Clarity and/or Caboodle 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.
Perform data quality assessment, anomaly detection, and cross-site consistency validation; implement processes to identify and resolve data integrity issues with sites.
Partner closely with the biostatistics team to deliver clean, structured, well-documented datasets; support data preparation, variable derivation, and dataset specifications for statistical analysis plans.
Collaborate with clinical operations on site onboarding for clinical site 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 working knowledge of real-world data standards (OMOP CDM, HL7 FHIR, SNOMED, 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

What you’ll need

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 strongly preferred.
Knowledge of clinical trial data management principles and ICH-GCP a plus.

Benefits

Comp & perks

Health insurance
401(k) matching
Paid time off
Flexible work hours
Professional development opportunities